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 Truveta, Meridial, and FICO. Find a role that fits below and apply directly.
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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
See All 30 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
- Fintech
- Technology & Software
- 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 Truveta, Meridial, and FICO, based on current remote listings on Migrate Mate as of September 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 Fintech, Technology & Software, and Investment & Asset Management, based on current remote listings on Migrate Mate as of September 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 30 Remote AI/ML Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI/ML Researcher Jobs