AI/ML Researcher Jobs
AI/ML Researcher jobs are open from new-grad to principal level across technology, healthcare, finance, and defense, with common specializations in natural language processing, computer vision, and reinforcement learning. See the openings below and apply to the ones that match your experience.
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US Based Position. Must be US Citizen.
Location: Arlington VA(U.S.-based). Remote Work Allowed in US.
Employment Type: Full-Time
Company: Technology & Business Management, Inc. (TBM Inc.)
Experience Level
8+ years in security analytics/SIEM engineering with 4+ years of advanced Splunk engineering; hands-on dashboarding, SPL, alerting, data onboarding, and automation required.
Position Summary
Own DLP telemetry, analytics, dashboards, alerting, automation, and measurable optimization in Splunk, while supporting Government-approved SOAR/RPA and bounded AI/ML use cases.
Key Responsibilities
Engineer and maintain Splunk ingestion, normalization, searches, dashboards, reports, alerts, health metrics, event-volume trends, and operational/executive DLP reporting.
Develop SPL queries and documented calculations that Government personnel can reproduce and sustain.
Integrate telemetry from Symantec/Broadcom, Purview, Palo Alto, and other authorized DLP/security platforms.
Design automated notifications, alerts, alarms, and Government-authorized SOAR/RPA workflows to reduce manual triage and improve response.
Support event correlation, incident analytics, severity/prioritization, trend analysis, and detection-performance measurement.
Evaluate approved AI/ML-enabled capabilities to reduce false positives, identify notable events, improve triage, and reduce analyst workload; establish baseline/candidate comparisons and rollback criteria.
Track metrics such as false positives, false negatives where measurable, alert volume, time-to-triage/disposition, stability, workload, and business impact.
Document data definitions, dashboard maintenance, automation logic, model/configuration tuning, test evidence, limitations, procedures, and Government training.
Required / Critical Skills
Splunk Enterprise / Splunk ES; SPL; dashboards; data models; alerts; field extraction; ingestion/onboarding; CIM; APIs; security analytics; incident correlation.
Splunk SOAR or comparable orchestration/automation; Python or scripting; REST APIs; JSON; data normalization.
Understanding of DLP events/policies, SOC workflows, detection engineering, false-positive reduction, and security KPIs.
Practical AI/ML analytics knowledge with emphasis on explainability, human review, validation, privacy/security controls, and measurable benefit rather than custom model research.
Splunk Core Certified Power User/Admin/Architect or Splunk Enterprise Security certification strongly preferred.
Preferred Qualifications
Experience with Qmulos, federal continuous monitoring/FISMA reporting, or large federal Splunk environments.
Experience integrating DLP products into SIEM/SOAR workflows.
Current Public Trust/MBI or clearance.
Education
Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Information Systems, or a related field is preferred. Equivalent directly relevant experience and advanced industry certifications may be considered, subject to the applicable contract labor-category requirements.
Federal Suitability / Security
Candidate must be able to meet IRS personnel-security and suitability requirements for the position, including the applicable background investigation and required security/privacy training. A current favorably adjudicated federal Public Trust/MBI or other investigation that may qualify for reciprocity is highly desirable.
What Will Make a Candidate Stand Out
Direct hands-on experience with the named platform(s), not only governance or oversight.
Recent enterprise production experience supporting sensitive or regulated information.
Ability to explain specific examples of troubleshooting, policy/rule tuning, testing, incident support, measurable improvement, and documentation.
Federal customer experience and demonstrated ability to work within controlled access, change, audit, and documentation processes.
Ability to become productive quickly and communicate effectively with both engineers and Government stakeholders.
Why Join TBM Inc.
- Support high-impact federal missions
- Work on strategic IT modernization programs
- Join a fast-growing federal consulting firm
- Collaborate with experienced government and industry leaders
- Opportunity to grow into senior consulting and portfolio management roles
How to Apply
Interested candidates should apply via Indeed with their resume. Qualified applicants will be contacted for next steps.
TBM Inc. is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.
Job Type: Full-time
Pay: $145,000.00 - $155,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
Work Location: Remote
AI/ML Researcher Jobs by Experience Level
Top Cities Hiring AI/ML Researchers
Explore AI/ML researcher openings in the cities hiring most right now.
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Find AI/ML Researcher JobsAI/ML Researcher Job Market
Who's Hiring
- JPMorganChase17
- Amazon Web Services12
- Apple9
- Booz Allen Hamilton7
- AMD5
Top Industries Hiring
- Technology & Software17
- Banking & Financial Services12
- Electronics & Hardware10
- Investment & Asset Management8
- Automotive5
What Employers Look For
The qualifications that appear most often in 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 AI/ML Researcher Job Search
Tailor your resume to the method
Hiring managers scan for the specific modeling approaches you've used, not just 'machine learning.' Name the algorithms, architectures, and frameworks you applied and pair each with a concrete outcome, such as a reduction in error rate or an improvement in inference speed.
Link every project to a public artifact
Reviewers for research roles expect to verify your work. Attach a preprint, a conference paper, a public repository, or a technical blog post to each major project on your resume so they can read beyond the bullet point.
Apply early to roles that fit
Migrate Mate lists ai/ml researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by research versus applied focus
Job titles overlap heavily in this field. Read the responsibilities section carefully to distinguish pure research roles, which expect publications and novel contributions, from applied science roles, which weight production deployment and cross-functional delivery. Applying to the wrong type wastes your time.
Prepare a paper walkthrough for interviews
Many ai/ml researcher interviews include a research presentation or a deep dive into a paper you authored or admire. Practice explaining your methodological choices, the limitations of your approach, and what you would do differently, not just the results.
Negotiate compute and data access, not just pay
Research velocity depends on GPU budgets, proprietary datasets, and cloud credits. Ask specifically about compute allocation policies, internal dataset access, and whether the team has a publication approval process before accepting any offer.
AI/ML Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most ai/ml researchers?
The companies hiring the most ai/ml researchers right now include JPMorganChase, Amazon Web Services, and Apple, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, cloud infrastructure, and enterprise software companies investing in generative AI and foundation model development.
How many ai/ml researcher jobs are remote?
About 60% of ai/ml researcher openings are fully remote or hybrid as of September 2026, making it one of the more flexible research disciplines in terms of location. Roles focused on natural language processing and data-centric research tend to offer the highest share of fully remote options, while hardware-adjacent or lab-based positions more often require on-site presence.
How do you become an ai/ml researcher?
Most ai/ml researchers build a foundation through a graduate degree in computer science, mathematics, or a closely related field, then develop applied skills through thesis research, internships, or open-source contributions. Publishing or presenting at recognized machine learning venues strengthens your candidacy significantly. Building a public portfolio of reproducible experiments and contributing to collaborative research projects rounds out the profile employers look for.
Can you get an ai/ml researcher job with little or no experience?
Breaking in with limited experience is possible but requires a deliberate portfolio strategy. Focus on completing end-to-end projects that involve a clearly stated problem, a novel or well-justified methodological choice, and a reproducible result. Contributing to open-source research codebases, co-authoring papers with academics, or completing a research internship at a company or national lab are the most direct paths employers recognize when your formal experience is thin.
What does the ai/ml researcher interview process look like?
The process typically opens with a recruiter screen followed by a technical phone interview covering machine learning fundamentals, probability, and coding. A research presentation or paper deep-dive is common at the next stage, where you walk through your own work or a selected paper and field detailed methodological questions. Final rounds usually include a full-day set of interviews covering research vision, system design for ML pipelines, and cross-functional collaboration scenarios.
Where can I find and apply to ai/ml researcher jobs?
You can find and apply to ai/ml researcher jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 167+ AI/ML Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI/ML Researcher Jobs