11,908 Machine Learning Engineer jobs in the United States

Senior Machine Learning Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in ML and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
You'll need to have:
+ Practical experience with solving Machine Learning problems and techniques
+ Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience
+ Experience with machine learning and deep learning frameworks
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
We give back to the technology community and you can read more about our outreach at:
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

We are seeking a skilled Machine Learning Engineer to join our team. In this role, you will design, develop, and deploy machine learning models that solve real-world problems and drive business value. You’ll work closely with data scientists, software engineers, and product teams to build scalable, production-ready AI solutions.

Responsibilities

• Build, train, and deploy machine learning models and algorithms.

• Collect, preprocess, and analyze large datasets for modeling.

• Develop and maintain end-to-end ML pipelines (data ingestion → model training → deployment).

• Monitor and improve model accuracy, performance, and scalability.

• Collaborate with cross-functional teams to integrate ML solutions into products.

• Research and apply the latest ML/AI techniques and tools.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).

• Strong programming skills in Python (plus experience with libraries such as TensorFlow, PyTorch, or scikit-learn).

• Solid understanding of statistics, probability, and algorithms.

• Experience deploying models in production (cloud platforms like AWS, Azure, or GCP preferred).

• Knowledge of data engineering tools, APIs, and version control (Git).

• Excellent problem-solving skills and ability to explain ML concepts to non-technical stakeholders.

What We Offer

• Competitive pay (salary/hourly depending on experience).

• Remote and flexible work options.

• Opportunities for professional growth and certifications.

• Innovative projects in a collaborative environment.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

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Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Machine Learning Engineer at Exact Sciences summary:

The Machine Learning Engineer at Exact Sciences applies advanced AI and machine learning techniques to analyze biological, genomic, clinical, and healthcare data to support cancer screening and precision oncology. They collaborate with biostatisticians, bioinformatics scientists, and data scientists to design, implement, and deploy innovative AI solutions that improve cancer detection, prevention, and treatment. This role involves continuous learning, strategic contribution to AI methodologies, and working within an agile framework to accelerate research and clinical insights.

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Machine Learning Engineer, with moderate guidance from more experienced engineers, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. This role utilizes working knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This position contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and works as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.

Essential Duties

Include, but are not limited to, the following:

• Keep up with external and internal advances in AI technology.
• Collaborate with other ML/AI engineers and relevant partners to articulate “AI affordance”: what do the advances in AI technology allow us to do (or do more efficiently or effectively) that we couldn’t do before?
• Work with stakeholders to discover requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.
• Collaborate with other ML/AI engineers and relevant partners to contribute to the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
• Work with other AI and ML engineers and software engineers and contribute to the implementation and deployment of ML and AI solutions.
• Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions.
• Contribute to the execution of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.
• Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
• Exercise judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.
• Ability to clearly communicate, and to explain basic to intermediate topics to audiences of peers.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.
• Ability to work designated schedule.
• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day.
• Ability to travel 5% of working time away from work location, may include overnight/weekend travel

Minimum Qualifications

• Ph.D.  in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master’s degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of experience in lieu of a Ph.D.
• Demonstrated knowledge of advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
• Demonstrated knowledge of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
• Demonstrated knowledge of large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
• Programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.
• Knowledge of open-source AI models.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• 1+ years of life sciences industry experience working with biological data.
• 1+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
• Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
• Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models.
• Scientific understanding of cancer biology

#LI-CB1

Salary Range:

$112,700.00 - $192,050.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

Keywords:

machine learning, artificial intelligence, bioinformatics, cancer diagnostics, precision oncology, deep learning, data science, healthcare data, Python, TensorFlow, AI deployment

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

---

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

---

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

**About the Role & Team:**
_"Any sufficiently complex technology is indistinguishable from magic."_ - Arthur C. Clarke
At Imagineering, we are constantly exploring new ways to connect with our guests - to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world.
At Walt Disney Imagineering Research and Development, this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists, and scientists share a passion for solving impossible problems and building ground-breaking experiences.
At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment.
We are looking for a Machine Learning Engineer with strong software engineering skills and experience in AI, who thrives in experimental, interdisciplinary environments.
You will work with senior engineers and scientists to prototype, build, and productionize software algorithms, components, and complex systems to support agentic workflows across Disney's themed entertainment portfolio. Your role will focus on technical execution, software development, and the translation of experimental AI technologies into robust, production-ready tools.
This role will report to the Associate Lab Director and contribute to the AI/ML applied research portfolio at Disney Research Imagineering.
This is a full-time role.
**What You Will Do:**
+ Implement and support prototypes of generative AI tools and intelligent agents for creative and technical tasks.
+ Develop and maintain software pipelines that integrate agentic AI workflows and tooling.
+ Collaborate with researchers to translate conceptual models and experimental algorithms into working code and functional systems.
+ Optimize, test, and document systems to support evaluation and deployment within Imagineering teams.
+ Participate in the integration of AI models with APIs, databases, internal tools, and creative software.
+ Troubleshoot and iterate on system performance and usability based on feedback from cross-disciplinary collaborators.
+ Partner with interdisciplinary teams to ensure AI applications empower rather than constrain artistic and storytelling processes.
+ Collaborate with internal and external research partners, including software teams, business stakeholders, academic institutions, industry labs, and vendors.
+ Translate scientific insights into working prototypes and production-ready implementations
**Required Qualifications & Skills:**
+ 3+ years of professional software development experience
+ Experience using ML/AI and prototyping solutions in academic, entertainment, or industrial settings
+ Experience with generative models and AI agent architectures.
+ Strong programming skills in Python and experience with large model libraries, APIs, and support tooling (e.g. OpenAI, Azure, Ollama, MCP, etc).
+ Excellent collaboration, problem-solving, and communication skills with the ability to present complex ideas to multidisciplinary teams
+ Demonstrated ability with production-ready, real-world implementations
+ A desire to work in a collaborative, creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
**Preferred Qualifications:**
+ Proven track record of delivering novel AI solutions in practical contexts
+ Familiarity with the development, evaluation, and deployment of LLMs, VLMs, and multimodal AI systems
+ Experience with reinforcement learning, prompt engineering, and fine-tuning generative models
+ Experience with AI-assisted tools in architecture, entertainment, or XR applications is a plus.
+ Track record of technology transfer, patents, or deployed AI systems
+ Contributions to open-source projects or prior work in research labs or innovation teams
+ Interest in construction tech, architecture, or fabrication workflows is a plus.
**Education:**
+ Bachelor's in Computer Science, Electrical Engineering, Computational Design, or a related field. Specialization in AI/ML preferred.
**Additional Information:**
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at .
#DXMedia
#LI-KK2
The hiring range for this position in Glendale, CA, is $114,900-$154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Glendale,California
**Job Posting Company:** Walt Disney Imagineering
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
**DUTIES AND RESPONSIBILITIES:**
+ Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
+ In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
+ In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
+ Completes programming and implements efficiencies, performs testing and debugging.
+ Completes documentation and procedures for installation and maintenance.
+ Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
+ Lead technical teams and scope challenging projects into executable sprints.
+ Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
+ Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
+ Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
+ Interface with external vendors and partners to integrate their technology into the team's autonomy stack.
+ Maintains the strict confidentiality of sensitive information.
+ Performs other duties as assigned.
+ Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
49484
**Job Qualifications:**
+ Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and two or more years of machine learning experience with a bachelors degree. May substitute equivalent machine learning engineer experience in lieu of education.
+ Must have an understanding of machine learning concepts, principles, and theory.
+ Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
+ Experience in developing and leading scalable software architectures from scratch.
+ Experience in optimizing AI models to meet edge processing requirements.
+ Strong coding skills in Java, Java Script, C/C++, Python
+ Experience in AI frameworks such as Tensorflow and pyTorch.
+ Excellent verbal and written communication skills.
+ Must be able to architect, design, and develop complex software.
+ Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
+ Active membership and participation in relevant conference and professional society organizations.
+ Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
+ Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
+ Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
+ Must be able to work both independently and on a team.
+ Able to work extended hours as required.
+ Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
+ Ability to obtain and maintain a DoD security clearance is required.
**Salary:** $98,100 - $171,398 **Travel Percentage Required** 0 - 25 **Relocation Assistance Provided** Not Provided **US Citizenship Required?** Yes **Clearance Required?** Desired **Clearance Level** Entry-Level (0-2 years) **Workstyle** Hybrid
General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

This role is embedded with Ford Performance, Ford's motorsport division, for the first two years. Successful candidates will be expected to develop AI and Machine Learning-driven solutions for Ford Performance and its motorsport partners. They will leverage diverse sources of data, such as time-series, images, audio, and video to develop predictive models and deploy them in prototype applications for downstream consumption. Frequent travel will be required.
+ Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
+ Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
+ Apply AI and Machine Learning technology to solve complex, real-world problems.
+ Analyze and visualize diverse sources of data, interpret results and report results clearly and concisely.
+ Fulfill problem formulation and ML approaches.
Required Qualifications:
+ Bachelor's or Master's degree in Computer Science, Statistics, Applied mathematics, or other engineering discipline.
+ 2-3+ years experience in feature engineering, model development, hyper parameter tuning, and model evaluation
+ 2-3+ years experience with Python, Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
+ 2+ years Google Cloud Platform
+ Core concepts of modern NLP or Computer Vision modeling techniques
+ Familiarity with best practices in deep learning
+ Familiarity with API and application development and tools such as FastAPI or Dash.
+ Strong technical writing and oral skills
Preferred Qualifications:
+ Ph.D. degree in a STEM field
+ Git and best practices in GitHub
+ Test and Behavior Driven Development
+ OS: Linux shell scripts and Docker containers
+ Exposure to best practices in CI/CD
_*Travel is required for the first 2 years in this role due to client demand, once a month expected*_
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder.or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary ( role is based out of Palo Alto, CA or Dearborn, MI, you will be required to be on-site 4 days/week._**
**_*Visa Sponsorship IS provided for this specific role_** ***
**_*Relocation assistance IS provided for this specific role*_**
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call .
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**Requisition ID** : 50259