7,324 Senior Data Scientists jobs in the United States

**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? ( you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility ( ?subject=Accommodation%20request)_
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**Additional Job Description:**
1.Support ATO (Account Takeover) and Specialty Fraud Strategies
2.Using data analytics, identify fraud trends and build strategic rules to generate operational alerts to review
3.Produce and monitor KRI (key risk indicators) and be able to articulate fraud trends
4.Produce and monitor KPI (key performance indicators) and be able to articulate strategy performance
5.Communicate with key stakeholder's risk observations
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site ( Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law ( Transparency Nondiscrimination Provision ( (

**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? ( you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility ( ?subject=Accommodation%20request)_
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**Additional Job Description:**
1.Support ATO (Account Takeover) and Specialty Fraud Strategies
2.Using data analytics, identify fraud trends and build strategic rules to generate operational alerts to review
3.Produce and monitor KRI (key risk indicators) and be able to articulate fraud trends
4.Produce and monitor KPI (key performance indicators) and be able to articulate strategy performance
5.Communicate with key stakeholder's risk observations
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site ( Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law ( Transparency Nondiscrimination Provision ( (

*When you join Sallie Mae, you become a champion for all students.**
We’re on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. Weâ€re changing. Because students need a better way.
We†e looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students†nd for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It†where you†e empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you†rom physical and mental to financial and professional. You†l get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We†e obsessed with impact and making a real difference. For us, that means putting relationships first, asking †hy not?†when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
**What You'll Contribute**
The Senior Associate, Statistical Modeling will be responsible for supporting the development and implementation of statistical models and methodologies to drive data-informed decision-making within the organization. This role is ideal for individuals with a strong foundation in statistical modeling and machine learning. The candidate will play a key role in developing, validating, and enhancing credit risk models, working closely with business stakeholders to ensure alignment and applicability of model outputs.
**What You'll Do**
+ Assist in the development and implementation of statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems.
+ Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and stakeholders, to understand business objectives and contribute to statistical modeling projects.
+ Analyze and interpret large and diverse datasets to extract meaningful insights.
+ Assist in evaluating and validating statistical models to ensure accuracy, reliability, and scalability.
+ Contribute to the documentation of statistical models, methodologies, and findings.
+ Prepare reports and presentations to communicate results, insights, and recommendations to team members and stakeholders.
_The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role._
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**What you have**
Minimum education, skills and experience required.
+ Master's degree in Statistics, Mathematics, Data Science, or a related field.
+ Proficiency in statistical programming languages such as SAS, SQL or Python.
+ Knowledge of statistical modeling techniques, including regression analysis, time series analysis, predictive modeling, and machine learning algorithms.
+ Familiarity with data visualization tools and techniques.
+ Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
+ Detail-oriented with a strong focus on accuracy and quality.
+ Effective communication and interpersonal skills, with the ability to collaborate with team members and stakeholders.
Preferred education, skills, and experience.
+ Doctorate’degree in Statistics, Mathematics, Data Science, or a related field.
+ 3+ years of experience in statistical modeling or data analysis.
+ Expertise in advanced technologies, including machine learning and generative AI.Â
+ Exposure to cloud platforms and tools such as AWS and Git technology.Â
+ Familiarity with model governance frameworks and prior experience in supporting model validation processes.Â
**The Americans with Disabilities Act**
_The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the “es ntial functions†of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function._
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**Feeling your best helps you do your best:**
**Our benefits take care of the whole you— you can build your work around your ife (not the other way around!).**
+ Competitive base salariesÂ
+ Bonus incentivesÂ
+ Generous PTO, Floating Holidays and 12 Federal Holidays observed
+ Support for financial-well-being and retirement 401k with employer match
+ Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
+ Employer paid short-term/long-term disability and basic life insurance Â
+ Flexible hybrid working arrangements.
+ Paid parental leave and adoption reimbursement programs
+ Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)Â
+ Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
+ Tuition Reimbursement and Family Scholarship Programs
+ Career development and training opportunities
Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_  in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
**Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here ( **Â** **to view the U.S. Pay Transparency Policy,** **here ( **for federal job applicant notices, and** **here ( **to view the California Employee Privacy Notice.**
**Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.**
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click Click to view the U.S. Pay Transparency Policy.

Our client is seeking a talented and innovative Data Scientist with a strong focus on Machine Learning to join their growing analytics team. This role is instrumental in developing and deploying advanced machine learning models that drive business insights and product innovation. You will work with large, complex datasets, applying statistical techniques and machine learning algorithms to solve challenging problems across various business units. The ideal candidate is passionate about data, possesses strong programming skills, and has a proven track record of delivering impactful data-driven solutions.

Key responsibilities include data exploration and analysis, feature engineering, model development and validation, and deploying models into production environments. You will collaborate closely with product managers, engineers, and business stakeholders to understand requirements, define project scope, and communicate findings effectively. Experience with various machine learning techniques, including supervised and unsupervised learning, deep learning, and natural language processing, is highly desirable. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) are essential. This position offers an exciting opportunity to work on cutting-edge projects, contribute to strategic decision-making, and continuously expand your technical skillset in a supportive and collaborative environment.

Responsibilities:

• Design, develop, and implement machine learning models to address business challenges.
• Perform data exploration, cleaning, and feature engineering on large datasets.
• Evaluate model performance and iterate on designs for improvement.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Communicate complex findings and recommendations to technical and non-technical audiences.
• Stay abreast of the latest advancements in machine learning and data science.
• Contribute to the development of data science best practices and standards.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience in data science or machine learning roles.
• Strong proficiency in Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
• Solid understanding of statistical modeling, machine learning algorithms, and evaluation metrics.
• Excellent problem-solving, analytical, and communication skills.
• Experience with data visualization tools is a plus.

This is a fully remote role, contributing to projects based out of St. Louis, Missouri, US . We are looking for enthusiastic and skilled individuals to join our innovative team.

Our client, a cutting-edge technology firm based in Huntsville, Alabama, US , is actively seeking a talented Data Scientist with expertise in Machine Learning. This role is critical in developing and deploying advanced algorithms that drive innovation and enhance our client's product offerings. You will be responsible for the entire machine learning lifecycle, from data collection and preprocessing to model development, evaluation, and deployment. This includes designing experiments, building predictive models, and implementing machine learning solutions to solve complex business problems. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong emphasis on machine learning and data mining. Proven experience in developing and deploying machine learning models in a production environment is essential. Proficiency in programming languages such as Python or R, along with extensive experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop), is required. Strong understanding of statistical modeling, data analysis, and experimental design is also crucial. Excellent problem-solving skills, a collaborative spirit, and effective communication abilities to explain complex technical concepts to non-technical stakeholders are necessary. This hybrid role involves a balance of remote work and in-office collaboration at our Huntsville, Alabama, US facility, allowing for teamwork and access to specialized resources. You will work alongside a team of experienced data scientists and engineers, contributing to impactful projects and pushing the boundaries of AI and machine learning. This is an exceptional opportunity to grow your career in a dynamic and intellectually stimulating environment.

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.

**THE COMPANY**
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work
ASRC Federal is looking for an experienced AI Engineer - Intermediate to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) G6 at Redstone Arsenal, AL. The AI Engineer will work witha small, focused team of other AI Engineers and a Data Architectsupporting the development and implementation of artificial intelligence (AI) and machine learning (ML) tools across ACC. These tools will enhance decision-making, optimize workflows, improve communication, and automate key project management functions.
The engineer will work oncross-functional collaboration efforts with data scientists, cybersecurity experts, and subject matter experts. Solutions will leverageAI technologies such as Palantir Foundry, Microsoft Copilot, and other enterprise AI platforms.
**KEY RESPONSIBILITIES**
+ Work inan AI/ML team supporting enterprise-wide automation, analytics, and insight initiatives
+ Coordinate technical delivery of AI solutions aligned to mission-specific use cases
+ Design, develop, train, and optimize machine learning models for real-world application
+ Evaluate model performance and implement improvements based on user and system feedback
+ Analyze and preprocess large datasets for use in AI/ML pipelines
+ Deploy AI/ML models in secure, on-premises environments, ensuring performance and scalability
+ Collaborate with stakeholders to define project requirements and refine solutions for maximum impact
+ Use platforms such as Palantir Foundry and Microsoft Copilot to create actionable insights and automation tools
+ Draft documentation and provide guidance on AI usage to non-technical users
**REQUIRED QUALIFICATIONS**
+ Minimum of 3 years of experience working in AI/ML.
+ Experience with:
+ Microsoft Office Suite
+ AI/ML platforms such as Palantir Foundry, Microsoft Copilot, or similar enterprise tools
+ Experience using HTML, CSS, and JavaScript
+ Model development, training, optimization, and deployment
+ Preprocessing and analyzing large data sets
+ Strong communication and leadership skills, with the ability to manage and guide technical teams
+ Ability to define and document AI/ML use cases in coordination with stakeholders
**PREFERRED** **QUALIFICATIONS**
+ Experience working inAI/ML initiatives within DoD or federal government environments
+ Familiarity with Agile development and MLO pspractices
+ Exposure to Python-based ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)
+ Experience integrating AI models into enterprise software systems
**CLEARANCE LEVEL**
+ Minimum active DoD Secret clearance. Candidates without a minimum of a Secret clearance will not be considered.
**EDUCATION REQUIREMENTS**
+ Bachelor's degree in information technology, Cybersecurity, Data Science, Information Systems, or Computer Science from an ABET-accredited or CAE-designated institution
**CERTIFICATION**
+ Security+ Required
**WORK ENVIRONMENT AND PHYSICAL DEMANDS:**
+ This role is 100% on-site at Redstone Arsenal, AL.
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.
**_EEO Statement_**
_ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law._
**Job Details**
**Job Family** **Information Technology**
**Job Function** **Machine Learning**
**Pay Type** **Salary**

Immigration sponsorship is not available for this position
Machine Learning Engineer
What you can expect
As a Machine Learning Engineer on our Trust and Safety Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our Trust and Safety domain. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.
About the Team
The Trust and Safety Engineering team is committed to protecting users from being abused. We are passionate about leveraging cutting-edge technology to drive significant advancements in providing a safe environment for users.
Responsibilities
+ Designing, implementing, and optimizing AI/ML algorithms, techniques and solutions to address complex business challenges.
+ Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
+ Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
+ Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
+ Staying up-to-date with the newest developments in AI/ML research and engineering to continuously improve our technical capabilities.
What we're looking for
+ Have minimum of 5+ Years of professional experience and a Master's Degree or PhD in Computer Science, AI, Machine Learning, or a related field.
+ Be proficient in one or more programming languages such as Python, Java.
+ Be proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
+ Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
+ Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
+ Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.
Salary Range or On Target Earnings:
Minimum:
$137.700,00
Maximum:
$275.400,00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
09/30/25
Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.
About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.