{"id":67827,"url":"https://alion.io/job/far-senior-research-engineer","title":"Senior Research Engineer","company":{"id":24025,"name":"FAR.AI","domain":"far.ai","url":"https://alion.io/company/far","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":12,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Berkeley, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":225000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GPT-5","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2025-11-26T20:29:32Z","employer_posted_date":"2025-11-26","last_verified_at":"2026-10-17T03:11:32Z","board_verified":true,"closed_at":null,"days_open":324,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":324},"description":"About Us\nFAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response. \nSince our founding in July 2022, we've grown to 50+ staff, published 40+ academic papers, and convened leading AI safety events. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML including a Best Paper Honorable Mention in 2026, and ICLR, and features in the Financial Times, Nature News, Wired Magazine and MIT Technology Review. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI, independent evaluations for governments including the EU AI Office, and publish the AI Security Leaderboard based on our red-teaming expertise. We help steer and grow the AI safety field through developing research roadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40+ members; and supporting the community through targeted grants to technical researchers.\nAbout FAR.Research\nWe explore promising research directions in AI safety and scale up only those showing a high potential for impact. Once the core research problems are solved, we work to scale them to a minimum viable prototype, demonstrating their validity to AI companies and governments to drive adoption.\nWe are aiming to rapidly grow our team in the following areas:\nMitigating AI deception: Studying when lie detectors induce honesty or evasion, and developing for deception and sandbagging\n\nEvals and red-teaming: Conducting pre- and post-release adversarial evaluations of frontier models (e.g. Claude 4 Opus, ChatGPT Agent, GPT-5); developing novel attacks to support this work; and exploring new threat models (e.g. persuasion, tampering risks).\n\nInfrastructure: Maintaining GPU compute infrastructure to support experiments with open-weight models and developing new tooling to allow our research teams to scale their fine-tuning and post-training workflows to frontier open-weight models.\n\nAdversarial Robustness: Working to rigorously solve these security problems through building a science of security and robustness for AI, from demonstrating superhuman systems can be vulnerable, to scaling laws for robustness and jailbreaking constitutional classifiers\n\nMechanistic Interpretability: Finding issues with Sparse Autoencoders, probing deception using AmongUs, understanding learned planning in SokoBan and interpretable data attribution.\n\nFAR.AI is one of the largest independent AI safety research institutes, and is rapidly growing with the goal of diversifying and deepening our research portfolio. We would welcome the opportunity to add new research directions if you are a senior researcher with a strong vision and would like to pitch us on it.\nAbout the Role\nThis role would be a good fit for an experienced machine learning engineer, or an experienced software engineer looking to transition to AI safety research. All candidates are expected to:\nHave significant software engineering experience. Evidence of this may include prior work experience and open-source contributions.\n\nBe fluent working in Python.\n\nBe results-oriented and motivated by impactful research.\n\nBring prior experience mentoring other engineers or scientists in engineering skills.\n\nAdditionally, candidates are expected to bring expertise in one of the following areas corresponding to the core competencies our different research teams most need:\nOption 1 - Machine Learning:\nSubstantial experience training transformers with common ML frameworks like PyTorch or jax.\n\nGood knowledge of basic linear algebra, calculus, vector probability, and statistics.\n\nOption 2 - High-Performance Computing:\nPower user of cluster orchestrators such as Kubernetes (preferred) or SLURM\n\nExperience building high-performance distributed-systems (e.g. multi-node training, large-scale numerical computation)\n\nExperience optimizing and profiling code (ideally including on GPU, e.g. CUDA kernels).\n\nOption 3 - Technical Leadership:\nExperience designing large-scale software systems, whether as an architect in greenfield software development or leading a major refactor.\n\nComfortable project managing small teams, such as chairing stand-ups and developing detailed roadmaps to execute on a 3-6 month research vision.\n\nAbout the Projects\nAs a Member of Technical Staff (Senior Research Engineer) you would join one of our existing workstreams and lead projects there:\nDetecting and preventing deception. Under what conditions can we reliably detect deceptive behaviour from models, and can such behaviour be effectively mitigated at scale? This would focus on large-scale training of transformers.\n\nPreventing catastrophic misuse. Apply our research insights to detect and mitigate vulnerabilities and other risks in frontier AI models. This would focus more on technical leadership\n\nAccelerating our research. Build frameworks and infrastructure that allows us to ask bigger questions and more rapidly run new experiments, to deepen our research. This would focus more on high-performance computing.\n\nAs we continue to grow our research portfolio, additional workstreams may open up for contribution, for example in mechanistic interpretability.\nLogistics\nIf based in the USA or Singapore, you will be an employee of FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organisation on behalf of FAR.AI or as a contractor.\nLocation: Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person employees, and can hire remotely in most countries.\n\nHours: Full-time (40 hours/week).\n\nCatered Meals (Berkeley Office Only): Catered lunches and dinners on workdays at our office\n\nApplication process: A 72-minute programming assessment, two interviews with members of our technical staff, and a 1-2 week paid work trial. If you are not available for a work trial we may be able to find alternative ways of testing your fit.\n\nIf you have any questions about the role, feel free to contact us at . Otherwise, if you don't have questions, the best way to ensure a proper review of your skills and qualifications is by applying directly via the application form. Please don't email us to share your resume (it won't have any impact on our decision). Thank you!","description_format":"text","description_chars":6530,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"},{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Safety & Alignment","AI Research Labs","Nonprofits & Foundations"],"lifecycle":[{"event":"open","at":"2025-11-26T20:29:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":4}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.338,"p_room":0.28,"age_days":324,"expected_fill_days":67,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/far-senior-research-engineer","json_url":"https://alion.io/job/far-senior-research-engineer.json","meta":{"generated_at":"2026-10-17T06:49:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9383,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":24025},"rest":"https://alion.io/mcp/rest/get_company?id=24025"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffar-senior-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffar-senior-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffar-senior-research-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/far-senior-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffar-senior-research-engineer"}]}