Remote AI/ML Researcher Jobs
Remote AI/ML Researcher jobs are in active demand across the U.S., with remote-first firms and distributed research teams hiring across tech, healthcare, and enterprise software. Employers hiring remotely right now include General Motors (GM), Truveta, and TIAG. Find a role that fits below and apply directly.
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BAE Systems Inc is seeking a talented AI/ML Engineer to join our Enterprise Integration team and contribute to enterprise-level complex business solutions. As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics opportunities.
We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.
Responsibilities:
Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language models.
Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.
Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.
Produce visualizations and insights with the goal of communication to both technical and non-technical audiences.
Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.
Participate in BAE Systems citizen developer programs centered around AI and become a resource for the system admin and integration services team.
Work closely with the existing AI/ML team at BAE Systems to leverage their expertise, share knowledge, and drive innovation in AI/ML solutions.
Required Education, Experience, & Skills
Education:
- 8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning.
- Bachelor's degree in a related field.
- Excellent communication and presentation skills.
Strong understanding of large language models (LLMs) and their applications in AI.
Experience with Agent + RAG system and its application in data science and AI.
Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.
Experience with data visualization tools such as Tableau, Power BI, and others.
Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.
Experience with data mapping and modeling is a plus.
Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis.
Preferred Education, Experience, & Skills
Preferred Education
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
Experience working with large datasets and high-performance computing environments.
Strong understanding of data modeling, statistical inference, and machine learning techniques.
Experience with Docker and containerization
Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)
Pay Information
Full-Time Salary Range: $108787 - $184937
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
BAE Systems Inc is seeking a talented AI/ML Engineer to join our Enterprise Integration team and contribute to enterprise-level complex business solutions. As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics opportunities.
We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.
Responsibilities:
Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language models.
Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.
Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.
Produce visualizations and insights with the goal of communication to both technical and non-technical audiences.
Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.
Participate in BAE Systems citizen developer programs centered around AI and become a resource for the system admin and integration services team.
Work closely with the existing AI/ML team at BAE Systems to leverage their expertise, share knowledge, and drive innovation in AI/ML solutions.
Required Education, Experience, & Skills
Education:
- 8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning.
- Bachelor's degree in a related field.
- Excellent communication and presentation skills.
Strong understanding of large language models (LLMs) and their applications in AI.
Experience with Agent + RAG system and its application in data science and AI.
Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.
Experience with data visualization tools such as Tableau, Power BI, and others.
Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.
Experience with data mapping and modeling is a plus.
Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis.
Preferred Education, Experience, & Skills
Preferred Education
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
Experience working with large datasets and high-performance computing environments.
Strong understanding of data modeling, statistical inference, and machine learning techniques.
Experience with Docker and containerization
Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)
Pay Information
Full-Time Salary Range: $108787 - $184937
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
See All 26 Remote AI/ML Researcher Jobs
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Find Remote AI/ML Researcher JobsRemote AI/ML Researcher Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Fintech
- Investment & Asset Management
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote AI/ML researcher jobs.
- PhD or Master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running experiments with large-scale datasets
- Familiarity with transformer architectures and modern foundation model techniques
- Published research or demonstrated contributions to the machine learning community
- Ability to communicate technical findings clearly to cross-functional stakeholders
Tips for Your Remote AI/ML Researcher Job Search
Document your research process publicly
Remote employers can't watch you work, so your GitHub, experiment logs, and write-ups become your proof of competence. Publish reproducible notebooks, model cards, and clear README files that show how you scope and execute research independently.
Apply early to remote roles that fit
Migrate Mate lists remote ai/ml researcher openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings or location-filtered results.
Sharpen async written communication skills
Remote research teams rely on written updates, design docs, and Slack threads instead of whiteboard sessions. Practice writing concise experiment summaries and technical proposals that a distributed team can act on without a follow-up meeting.
Target remote-first companies specifically
Companies that built distributed from the start have stronger remote research infrastructure than those adapting office roles. Look for organizations with async-first documentation culture, established virtual onboarding, and research teams already working across multiple time zones.
Remote AI/ML Researcher Jobs: Frequently Asked Questions
How do I get a remote ai/ml researcher job?
Target companies with established distributed research teams, since they already have the infrastructure and culture for remote technical work. Remote employers screen for self-direction, strong written communication, and the ability to collaborate asynchronously across time zones. A well-documented GitHub portfolio, published research or preprints, and clear experiment write-ups give you a concrete edge over candidates who rely on in-person presence.
Which companies hire remote ai/ml researchers?
Companies hiring remote ai/ml researchers right now include General Motors (GM), Truveta, and TIAG, based on current remote listings on Migrate Mate as of August 2026. Remote-first tech firms, distributed enterprise software companies, and AI-native startups across sectors like healthcare, finance, and cloud infrastructure are among the most active hiring organizations for this role.
Can you get a remote ai/ml researcher job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one without in-office mentorship. Remote-first startups and research-focused open-source organizations are more open to early-career candidates. What opens the door is a documented project portfolio, contributions to open-source ML repositories, or a capstone that shows you can scope, execute, and communicate a research problem without hand-holding.
Do you need a degree for remote ai/ml researcher jobs?
Usually, but not always in the traditional sense. Most remote ai/ml researcher roles expect a graduate degree in machine learning, computer science, or a related field, particularly at research-focused companies. Remote employers increasingly weigh demonstrated output alongside credentials, so published work, reproducible code, and a strong portfolio of completed projects can complement or partially offset a non-traditional educational background.
Which industries hire the most remote ai/ml researchers?
The sectors hiring the most remote ai/ml researchers are Technology & Software, Fintech, and Investment & Asset Management, based on current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed research teams to develop and iterate on models without geographic constraints, making remote ai/ml researchers a natural fit for their hiring structures.
See All 26 Remote AI/ML Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI/ML Researcher Jobs