AI Researcher Jobs in Boston, MA
AI Researcher jobs in Boston are concentrated across biotech, robotics, and enterprise software, with key hubs in Kendall Square, the Seaport District, and the Longwood Medical Area. Employers hiring right now include Zoox, Whoop, and Deloitte. Find a role that fits below and apply directly.
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We help organizations move AI out of experimentation and into production — safely, reliably, and at scale. From inconsistent performance to limited transparency and challenges with integration and long-term viability, our Applied Intelligence Engine solves the risks that cause most AI initiatives to stall.
Built for some of the most highly regulated industries in the world, we enable teams to deploy AI systems that are auditable, explainable, and aligned with real-world constraints. Our solutions introduce structure, visibility, and control into how AI operates, turning advanced capabilities into a dependable, production-grade infrastructure so our customers can move faster and scale with confidence.
Job Overview
You’ll help build Clearwing: an AI-native cybersecurity system for autonomous vulnerability discovery, exploit validation, pen-testing, reverse engineering, and security reporting. You’ll combine hands-on offensive security work with LLM agent development, eval design, and product engineering. The ideal candidate can chase real bugs, validate exploitability, write production-quality Python, and turn exploratory research into repeatable security capabilities.
Responsibilities
- Develop AI-assisted vulnerability discovery workflows for source code, binaries, networks, and live systems.
- Build and improve Clearwing’s source-code hunting, network pen-testing, N-day exploit, reverse engineering, and validation pipelines.
- Design agentic workflows for reconnaissance, static analysis, dynamic testing, exploit development, patch validation, and reporting.
- Perform static analysis to identify vulnerable patterns, reachable attack surfaces, and exploitability conditions.
- Conduct authorized live testing against networks, services, containers, lab targets, and operational environments.
- Develop and validate proof-of-concept exploits in controlled, authorized settings.
- Build evaluation harnesses for vulnerability discovery quality, false positives, exploitability, reproducibility, and model/tool performance.
- Improve safety, authorization, auditability, guardrails, and human-in-the-loop controls for dual-use cybersecurity capabilities.
- Work with AI researchers and engineers to improve prompts, tools, agent loops, memory systems, scoring systems, and model-routing strategies.
- Produce clear technical reports with evidence, reproduction steps, impact analysis, and remediation guidance.
Requirements
- 3+ years of hands-on cybersecurity experience in vulnerability research, penetration testing, exploit development, reverse engineering, or security engineering.
- Practical experience with at least two of:
- Static analysis
- Dynamic analysis
- Binary exploitation
- Web application security
- Network penetration testing
- Cloud/container security
- Malware analysis or reverse engineering
- Detection engineering
- Strong Python skills and comfort building automation around security tools
- Familiarity with Linux, Docker, Kali/security tooling, Git, CI, and shell workflows
- Ability to reason from vulnerability signal to exploitability, impact, evidence quality, and remediation
- Experience working with LLMs, agents, prompt engineering, evals, or AI-assisted security workflows
- Strong written communication skills for technical findings, customer-facing reports, and internal research notes
- Clear judgment around authorization, responsible disclosure, and dual-use security tooling
Nice-to-haves
- Experience with Ghidra, IDA, Binary Ninja, angr, Semgrep, CodeQL, Joern, AFL++, libFuzzer, ASan/UBSan, or OSS-Fuzz
- Experience developing exploits for memory corruption, deserialization, auth bypass, SSRF, RCE, sandbox escape, or supply-chain vulnerabilities
- Experience with CVE reproduction, N-day analysis, patch diffing, or exploit validation
- Experience building LLM agents, tool-using systems, ReAct loops, eval harnesses, or synthetic-data pipelines
- Familiarity with SARIF, CVSS, CWE, MITRE ATT&CK, MITRE CVE workflows, HackerOne/Bugcrowd-style disclosure, or government security reporting
- Experience with Rust, Go, C/C++, or systems programming
- Prior work with security products, autonomous agents, fuzzing infrastructure, or government/security customers
Benefits
- Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans
- Opportunities for growth and professional development
- A collaborative and supportive company culture that values diversity and inclusion
- Access to cutting-edge technology and resources for research and development
- Compensation (commensurate with experience): $180,000 - $200,000 (base salary) + equity
Preferred Locations: AZ, CA, CO, CT, DC, FL, KS, ME, MD, MA, MN, NV, NH, NJ, NM, NY, PA, SC, TX, VA, WA
Lazarus AI is an equal opportunity employer. We are committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. We do not tolerate discrimination or harassment of any kind. This applies to every aspect of employment at Lazarus, including, but not limited to, employment, training, promotion, demotion, transfer, leaves of absence and termination.
See All 49 AI Researcher Jobs in Boston
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Find AI Researcher JobsAI Researcher Job Market in Boston
Who's Hiring
- Zoox7

- Whoop3

- Deloitte3

- PwC2

- Tempus AI2

Top Industries Hiring
- Technology & Software14
- Automotive7
- Consulting & Professional Services6
- Insurance5
- Accounting & Auditing4
AI Researcher Jobs in Boston: Frequently Asked Questions
How do I get a ai researcher job in Boston?
Focus on Boston's three dominant hiring sectors: biotech and life sciences, robotics and autonomous systems, and enterprise software. Kendall Square and the Seaport District host the densest concentration of research-focused employers. A graduate degree in machine learning, computer vision, or a related field gives you a clear edge, and publishing or contributing to open-source projects signals hands-on depth that Boston hiring teams look for.
Which companies hire ai researchers in Boston?
Employers hiring ai researchers in Boston right now include Zoox, Whoop, and Deloitte, based on current listings on Migrate Mate as of June 2026. Boston's mix of academic medical centers, defense contractors, and venture-backed AI startups means research roles appear across a wider range of employer types than in most U.S. cities.
Are there remote ai researcher jobs in Boston?
Yes, though it depends on the role. Purely analytical and modeling work is more remote-friendly, while robotics or lab-adjacent research typically requires on-site presence. About 38% of ai researcher openings tied to Boston are remote or hybrid as of June 2026. Seaport and Kendall Square employers tend to offer the most hybrid flexibility for software-focused research positions.
How can I get a ai researcher job in Boston with little or no experience?
The most realistic entry path in Boston is through a research assistant or associate role at one of the city's universities or academic medical centers, where junior researchers support active projects and build verifiable output. Boston-area AI startups in the Seaport and Cambridge also hire associate-level researchers, often valuing a strong GitHub presence or published coursework over years of experience. Internships at local biotech or defense contractors can open doors to full research roles.
Which industries hire the most ai researchers in Boston?
Boston ai researcher roles concentrate in Technology & Software, Automotive, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. Boston's deep university ecosystem and proximity to major hospitals and defense research institutions make it one of the few U.S. cities where life sciences and advanced robotics compete directly with software for AI research talent.
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