{"id":114787,"url":"https://alion.io/job/hammerhead-ai-reinforcement-learning-engineer","title":"Reinforcement Learning Engineer","company":{"id":42509,"name":"HammerHead AI","domain":"hammerheadco.ai","url":"https://alion.io/company/hammerhead-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":155000,"max_usd":292000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Isaac Gym","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Ray","optional":true},{"name":"RLlib","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2025-12-18T07:28:36Z","employer_posted_date":"2025-12-18","last_verified_at":"2026-10-17T03:41:31Z","board_verified":true,"closed_at":null,"days_open":302,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":302},"description":"About Hammerhead\nWe're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.\nAt Hammerhead, you will:\nWork at the intersection of AI, energy, and compute creating the next generation AI infrastructure\nCollaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies\nContribute to building a more efficient and sustainable future for AI compute.\nJoin a company at the cutting edge of modern data center design and operation\nReceive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.\nLearn from an experienced team that has built and sold startups before\nLearn more about Hammerhead\nThese AutoGrid alums want to change how data centers use power\n\nHow Hammerhead Wants to Rewrite the Economics of AI\n\nNews & Blogs\n\nRole Description\nAs a Reinforcement Learning Engineer, you will be the architect of the core intelligence for Hammerhead’s ORCA platform. Reporting to the Head of AI / Reinforcement Learning Engineering, you will design, train, and deploy the Orchestrated RL Control Agents that form the brain of our system, making real-time decisions to optimize power and compute resources across physical data centers. This role is for a hands-on expert who is passionate about applying cutting-edge RL research to complex, real-world industrial systems. You will be instrumental in developing the models that control physical assets like cooling systems and power distribution units to unlock massive efficiency gains in AI workloads.\nKey Responsibilities\nRL Model Development: Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure.\n\nSimulation and Training: Build and train RL agents that can generalize to real-world, physical systems.\n\nFrom Lab to Production: Lead the transition of RL models from research and simulation to live deployment within the ORCA platform, ensuring stability and performance on mission-critical hardware.\n\nSystem Optimization: Analyze agent performance to continuously improve control strategies for tasks like peak shaving, workload shifting, and thermal management.\n\nCross-Functional Collaboration: Partner with platform engineers to define the APIs, data telemetry, and infrastructure needed to support and scale our RL agents across a global portfolio of data centers.\n\nQualifications\nRL Expertise: Proven experience developing and implementing reinforcement learning algorithms, demonstrated through publications in top conferences (e.g., NeurIPS, ICML, ICLR), open-source contributions, or shipped products.\n\nIndustry Experience: 3+ years of experience applying RL to real-world problems, preferably in industrial automation, robotics, autonomous vehicles, energy systems, or other physical systems. Experience from a leading industrial or academic RL lab is highly desirable.\n\nTechnical Skills: Deep proficiency in Python and modern ML frameworks such as PyTorch, Jax, or TensorFlow. Experience with simulation platforms and RL libraries (e.g., Ray RLlib, Isaac Gym) is a plus.\n\nEducational Background: MS or PhD in Computer Science, Robotics, Operations Research, or a related field with a focus on machine learning or control theory.\n\nProblem Solver: You possess a strong theoretical background but are driven by practical application, with an ability to bridge the gap between RL theory and the constraints of physical, real-world systems.\n\nWhat We Offer\nCompetitive salary, bonus, 401(k) plan and equity in a rapidly growing startup\n\nComprehensive health, dental, and vision coverage\n\nOpportunity to apply the latest AI technologies working with an experienced team\n\nJoin our team to shape the foundation of tomorrow’s AI infrastructure\nVisit our Careers page at (hammerheadco dot ai / careers) to apply","description_format":"text","description_chars":4329,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2025-12-18T07:28:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"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":0}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.232,"p_room":0.28,"age_days":301,"expected_fill_days":30,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hammerhead-ai-reinforcement-learning-engineer","json_url":"https://alion.io/job/hammerhead-ai-reinforcement-learning-engineer.json","meta":{"generated_at":"2026-10-17T05:25:12Z","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":7310,"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":42509},"rest":"https://alion.io/mcp/rest/get_company?id=42509"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhammerhead-ai-reinforcement-learning-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%2Fhammerhead-ai-reinforcement-learning-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%2Fhammerhead-ai-reinforcement-learning-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/hammerhead-ai-reinforcement-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhammerhead-ai-reinforcement-learning-engineer"}]}