7,680 Algorithm jobs in the United States
Machine Learning Engineer - LLM Algorithm
Posted 4 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction The Experience team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions. Responsibilities 1. Optimize live streaming/RTC scenarios using machine learning/llm to enhance experience, cost efficiency, and resource allocation in multimedia upload, transcoding, and distribution pipelines, achieving multi-objective joint optimization and strategy coordination. 2. Build strategy datasets, identify issues through data analysis, define key metrics, deploy strategies, and continuously iterate based on new data distributions. 3. Stay updated with the latest research (reinforcement learning/federated learning/causal inference) and continuously improve model accuracy and recall.
Qualifications
Minimum Qualifications 1. Master's degree or above in Computer Science or related fields preferred; prior experience in audio/video processing or network optimization is a plus. 2. In-depth understanding of live streaming/RTC architectures; prior optimization experience in live/RTC projects is preferred. 3. Proficient in C++/Python; strong expertise in machine learning, reinforcement learning, or causal inference is highly valued. Preferred Qualifications 1. Strong sense of responsibility, curiosity, and excellent collaboration and communication skills, with the ability to accurately abstract problems and prioritize in complex technical scenarios. 2. Experience with learning-based model development is a big plus. 3.Excellent problem solving, data analysis, communication, and team work skills
Job Information
(For Pay Transparency)Compensation Description (Annually)
The base salary range for this position in the selected city is $ - $ annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Machine Learning Algorithm Validation Engineer
Posted 4 days ago
Job Viewed
Job Description
Machine Learning Algorithm Validation Engineer
Cupertino, California, United States
Hardware
Summary
Posted: Jul 10, 2025
Weekly Hours: 5
Role Number:
Would you like to work on a dynamic team that is all about delivering an Apple-quality experience on some of the world’s most creative products?
We are the Product Systems Quality team, and we're looking for a highly motivated, energetic, and experienced Algorithm Validation Engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple’s next generation of products. You'll enjoy working on a team of QA engineers with diverse backgrounds as we refine the models that power Apple’s trademark simple and elegant user experience.
Come be a part of our team and use creativity and innovation to test features that our customers love!
Description
You will work closely with algorithm development teams to design and execute live test procedures, aggressor searches, user studies, and annotation pipelines to improve and influence ML algorithm performance and design. By focusing on end-to-end system performance, you will evaluate and represent the true customer experience while using a deep understanding of the various components within the models to test comprehensively and efficiently. You’ll also work with hardware and software engineering teams to consider the system design and external factors that influence model performance.
You will be proud of your work through every step of the development cycle and will help make Apple products more flexible, reliable, and easy to use.
Minimum Qualifications
-
Bachelor’s degree in CS/CE/EE and a minimum of 2 years relevant industry experience.
-
Strong programming skills and hands-on experience with Python.
-
Experience in testing products utilizing computer vision, computational photography, generative AI, machine learning, or related areas.
-
Ability to communicate effectively and collaborate with partner teams.
-
Committed to encouraging an open and inclusive work environment.
Preferred Qualifications
-
Academic background in data science, machine learning, computer vision, and statistical data analysis
-
Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX).
-
Experience with CoreML, Swift, and iOS/macOS machine learning development.
-
Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
-
Understanding of how to test and quantify performance of sensing technologies such as IMU, capacitive, environmental, light, motion, radar, optical, acoustic, and evaluate user impact and performance.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Perception Machine Learning Algorithm Engineer
Posted 4 days ago
Job Viewed
Job Description
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
Leading the Future in Luxury Electric and Mobility
At Lucid Motors, we aim to redefine the automotive experience by creating the most
captivating, luxury electric vehicles that elevate human experience and push the
boundaries of space, performance, and intelligence. Our vehicles are designed to be
intuitive, liberating, and engineered for the future of mobility.
We are committed to leading this new era of luxury electric mobility by returning to the
fundamentals of great design-where every decision we make serves both the individual
and the environment. Free from the constraints of convention, we empower you to define
your own experience.
Join a team of some of the most accomplished minds in the industry. In addition to
competitive salaries, we offer a collaborative environment where innovators can make an
immediate and meaningful impact. If you are passionate about building a better, more
sustainable future, Lucid Motors is the place for you.
We are looking for an experienced Perception Machine Learning Algorithm Engineer to join
our ADAS/Autonomous Driving team. This position requires a highly skilled professional
with a strong background in machine learning, computer vision, and perception
algorithms, as well as solid programming expertise.
As a member of Lucid's Perception team, you will research, design, implement, optimize,
and deploy state-of-the-art machine learning models that advance perception algorithms
for autonomous driving. You will conduct literature reviews, develop and modify models to
enhance performance, and contribute to the deployment of these models in production
vehicles.
Role and Responsibilities
• Develop and optimize perception algorithms for Level 2/3 autonomous driving
systems using camera and LiDAR data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object
detection, segmentation, tracking, and multi-task learning.
• Research and integrate BEV-based transformer models for perception tasks.• Collaborate with cross-functional teams to ensure seamless integration and robust
implementation.
• Test, release, and deploy perception algorithms into Lucid production programs.
• Support the validation and verification of perception algorithms using prototype and
pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving
capabilities.
Required Qualifications
• Strong theoretical foundations and expertise in deep learning algorithms, including
object detection, tracking, and segmentation.
• Proficient in Python with a focus on clean, efficient, and scalable software
development.
• Comfortable working with large codebases and debugging complex machine
learning models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design and construct evaluation pipelines to unit-test ML models under
diverse conditions and environments.
• Excellent communication skills and a strong team player.
• Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive
Engineering, Mechanical Engineering, or a related field.
• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a
senior position.
• Advanced degrees are preferred.
Preferred Qualifications
• Experience developing BEV transformer models for perception.
• Proficiency in C++ with experience writing efficient, maintainable code.
• Practical, hands-on approach to solving complex problems in autonomous driving.
• Experience in testing and validating perception systems in real-world conditions.
• Experience working in agile development teams.
• Expertise in component and system integration, testing, and verification at the
system and vehicle levels.
At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Machine Learning Algorithm and Software Engineer
Posted 4 days ago
Job Viewed
Job Description
Machine Learning Algorithm and Software Engineer
Sunnyvale, California, United States
Machine Learning and AI
Summary
Posted: Nov 22, 2024
Role Number:
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation, robotics and health applications impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS.
In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
Minimum Qualifications
-
3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device
-
Coding skills in python and C/C++.
-
Knowledge of optimizing algorithms and software for resource constrained low-power devices.
-
Experience in 3D computer vision and image processing.
-
BS Degree in relevant field
Preferred Qualifications
-
Familiarity with ML learning techniques such as CNN, transformers, and diffusion models.
-
Proficiency in frameworks such as PyTorch or JAX.
-
Strong problem solving skills with proven experience in contributing to end2end projects life cycle from data acquisition and processing, algorithm development, prototyping to shipping software at scale.
-
Excellent communication and teamwork skills.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
^AI Algorithm
Posted today
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
-
Builds machine-learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine-learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
-
Interacts with users to define requirements for breakthrough product/solutions.
-
In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data-processing methods into software.
-
Completes programming, testing, debugging, documentation and/or deployment of libraries.
Basic Qualifications:
-
Minimum 3+ years of work experience
-
Minimum 3 years work experience in Neural Networks, Python, TensorFlow, Open Source , Keras, PyTorch, machine learning loss functions, Adaptability
-
HS Diploma / GED
Preferred Qualifications:
- Bachelor's or Associate's
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (
Role Location Hourly Salary Range
California $54.00 to $4.00
Colorado 54.00 to 64.00
District of Columbia 54.00 to 64.00
Illinois 54.00 to 64.00
Minnesota 54.00 to 64.00
Maryland 54.00 to 64.00
New York/ New Jersey 54.00 to 64.00
Washington 54.00 to 64.00
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.