Remote AI Research Engineer Jobs
Remote AI Research Engineer jobs are open across the U.S. in technology, healthcare AI, financial services, and enterprise software, at remote-first companies and distributed research teams scaling their ML capabilities. Employers hiring remotely right now include Hume AI, Truveta, and BlackRock. Scan the live roles below and apply to whichever ones fit.
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Location: Remote; travel may be required in support of meetings, training, presentations, or briefings with project stakeholders
Required Clearance: Ability to obtain and maintain the required VA background investigation/suitability determination
Certifications: Certification in one or more of the following: IAT III, IAM III or IASAE III certifications. IAT III/ IAM III / IASAE III certifications may be substituted for a relevant Bachelor’s degree or 4 years of relevant experience
Required Education: Master’s degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or related fields.
Required Experience: Minimum of 10 years of experience in relevant fields including IT security, data science, or software engineering, of which at least 5 years involve the design, development, or deployment of AI or machine learning systems in enterprise or Government environments A PhD in a related field (IT security, data science, or software engineering) may substitute for up to 5 years of the required experience
Description
PingWind is seeking a highly skilled and experienced Artificial Intelligence Engineer to join our dynamic team supporting a large Federal Government client. Apply AI, machine learning, data science, and software engineering expertise to develop and deploy secure AI/ML solutions for complex enterprise environments. The AI Engineer will help our government client responsibly integrate AI capabilities into enterprise security engineering and mission workflows.
Responsibilities
- Design, develop, train, test, and deploy AI/ML models and solutions.
- Collect, clean, analyze, and prepare datasets for AI/ML modeling.
- Identify AI-enabled automation opportunities that reduce manual effort and review cycles.
- Evaluate AI/ML solutions for performance, security, reliability, and enterprise suitability.
- Collaborate with data scientists, developers, cybersecurity engineers, architects, and domain experts.
- Document models, testing results, risks, controls, and technical recommendations.
- Apply AI/ML capabilities to enterprise security engineering, testing, and analysis.
Requirements
- Ability to obtain and maintain required VA background investigation/suitability and system access.
- Demonstrated experience building, training, and deploying AI/ML models in production environments.
- Experience applying AI solutions within large enterprise or Government environments.
Preferred Qualifications
- Federal/VA AI experience.
- MLOps and AI lifecycle experience.
- Responsible AI, model governance, or AI security experience.
PingWind has extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SDVOSB with offices in Northern Virginia and Huntsville AL. www.PingWind.com
Our benefits include:
- Eleven Federal Holidays
- Paid Time Off accrued each pay period
- Parental Leave
- Three medical plan choices with generous employer contribution
- Dental and Vision Insurance
- Company paid Short-Term and Long-Term Disability
- Company paid Life and AD&D Insurance
- 401k with competitive matching and vesting schedule
- Continuing education assistance
- Short Term / Long Term Disability & Life Insurance
- Medical, Dependent Care and Commuter Flexible Spending Accounts
- Employee Assistance Program
- Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
- 529 College Savings Plan
- Legal Insurance
- Pet Insurance
Salary Range
121K - 169K
The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote AI research engineer jobs.
- Master's or PhD in computer science, machine learning, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Familiarity with distributed training systems and GPU cluster environments
- Strong mathematical foundation in linear algebra, probability, and optimization
- Demonstrated research output such as publications, preprints, or open-source contributions
Tips for Your Remote AI Research Engineer Job Search
Build a public research portfolio
Remote employers can't observe your process in person, so your GitHub, Hugging Face profile, or personal site has to do that work. Document experiments end-to-end, include results and failure analysis, and write up your reasoning so a hiring manager can evaluate how you think, not just what you shipped.
Demonstrate async communication before the interview
Remote ai research engineer teams run on written handoffs, design docs, and asynchronous code reviews. In your cover letter and take-home exercises, write with the same clarity you'd use in a distributed team standup, because remote hiring managers treat your written communication as a direct preview of how you'll collaborate.
Apply early to remote roles that fit
Migrate Mate lists remote ai research engineer openings from across the U.S. in one place, so you can find roles that match your focus area and apply directly without sorting through mixed location results. Applying in the first few days matters because remote roles often close faster than on-site ones.
Target distributed teams within large companies
Many enterprise technology and healthcare AI companies run fully distributed research units even when their broader workforce is office-based. Search for teams explicitly described as distributed or remote-first within larger organizations, since those units have the tooling, culture, and manager experience to onboard remote ai research engineers effectively.
Remote AI Research Engineer Jobs: Frequently Asked Questions
How do I get a remote ai research engineer job?
Target remote-first AI labs, cloud infrastructure companies, and enterprise software firms that run distributed research teams, since those employers are built for async collaboration. Remote hiring managers screen hard for self-direction, clear written communication, and the ability to move research forward without daily check-ins. A public GitHub with reproducible experiments, published preprints, or documented open-source contributions gives you a concrete edge over candidates who only list skills.
Which companies hire remote ai research engineers?
Employers currently hiring remote ai research engineers include Hume AI, Truveta, and BlackRock, per current remote listings on Migrate Mate as of September 2026. Remote-first AI labs, distributed cloud platforms, and enterprise software companies building embedded AI products are the most consistent sources of fully remote openings for this role.
Can you get a remote ai research engineer job with no experience?
Yes, but remote entry roles are harder to land because you'll be expected to work independently from day one with minimal in-person mentorship. Remote-first companies and smaller AI startups are more open to entry-level candidates than large distributed research labs. Showing documented personal projects, Kaggle competition results, or contributions to open-source ML repositories gives hiring managers something concrete to evaluate in place of a professional history.
Do you need a degree for remote ai research engineer jobs?
Not always, though a graduate degree in machine learning, computer science, or a related field is common at research-heavy roles. Remote employers increasingly weigh a strong publication record, reproducible code, and demonstrated research output alongside or instead of formal credentials. Candidates who can show rigorous independent work through public repositories or preprints regularly advance past degree requirements at remote-first companies.
Which industries hire the most remote ai research engineers?
The sectors hiring the most remote ai research engineers are Technology & Software, Education, and Insurance, based on current remote listings on Migrate Mate as of September 2026. Those sectors rely on distributed teams to source specialized research talent that isn't concentrated in any single location, making fully remote arrangements a structural fit rather than a perk.
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