{"id":128058,"url":"https://alion.io/job/reflection-ai-forward-deployed-engineer-llm-post-training","title":"Forward Deployed Engineer - LLM Post-training","company":{"id":48184,"name":"Reflection AI","domain":"reflection.ai","url":"https://alion.io/company/reflection-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":43,"ghost_share":0.163,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-17T05:46:00Z"}},"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":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":166000,"max_usd":313000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false}],"status":"live","first_seen_at":"2026-04-22T00:06:32Z","employer_posted_date":"2026-04-22","last_verified_at":"2026-10-17T16:24:11Z","board_verified":true,"closed_at":null,"days_open":178,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":178},"description":"Our Mission\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\nRole Overview \nWe're looking for a core member of Reflection's Applied AI team to drive model fine-tuning and evaluations for enterprise customers. This team takes Reflection's open-weight models and adapts them for specific customer domains, tasks, and constraints. As a ML Engineer, you will work hands-on with customer data, run fine-tuning workflows, build evaluation harnesses, and deploy adapted models to production. You'll work directly with customers to understand what they need and with research teams to push what's possible.\nWhat You'll Do\nFine-tune Reflection's open-weight models for customer-specific use cases: prepare datasets, configure training runs (SFT, preference optimization, reinforcement fine-tuning), and iterate based on evals.\n\nBuild and maintain evaluation infrastructure: design eval suites, curate test sets, establish baselines, and measure whether fine-tuned models actually improve on the tasks customers care about.\n\nPrepare training data from raw customer inputs: inspect data quality, clean and format datasets, identify adversarial or noisy samples, and build reproducible data pipelines.\n\nDebug and diagnose training and inference issues: interpret loss curves, catch data quality problems, and identify when training dynamics indicate something is wrong.\n\nSupport end-to-end deployments of fine-tuned models across hybrid environments (public cloud, VPC, and on-premises), helping ensure inference performance and reliability in production.\n\nContribute to evolving playbooks, evaluation benchmarks, and best practices as part of a growing fine-tuning and evals practice.\n\nWhat We're Looking For\nApplied ML experience with hands-on fine-tuning of language models. You have prepared datasets, run training loops, evaluated results, and shipped a fine-tuned model. Familiarity with SFT, DPO, RLHF, or similar techniques.\n\nUnderstanding of evaluation methodology: how to design evals, interpret training graphs, and tell whether a model is actually better or just overfitting to the benchmark.\n\nComfort with training infrastructure: GPUs, compute management, debugging common training failures. You don't need to be an infra engineer, but you should not be afraid of a stack trace from a training loop.\n\nStrong software engineering fundamentals (Python). You write clean, reproducible code. Experience with data pipelines and version control for datasets and experiments.\n\n3+ years of engineering experience with meaningful exposure to applied ML or ML engineering (e.g., MLE, Applied Scientist, Data Scientist who shipped models to production, or ML-focused SWE).\n\nDemonstrated ability and interest to work in customer-facing environments, understanding user needs and translating domain requirements into training strategies.\n\nSelf-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.\n\nWhat We Offer:\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\nTop-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\nStock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\nHealth & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\nMeals: Lunch and dinner are provided in the office daily.\n\nLife & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\nVacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\nSponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\nTeam building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice","description_format":"text","description_chars":5017,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-04-22T00:06:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 35","filings_12m":35,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":188214,"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":30}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.627,"p_room":0.28,"age_days":178,"expected_fill_days":86,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/reflection-ai-forward-deployed-engineer-llm-post-training","json_url":"https://alion.io/job/reflection-ai-forward-deployed-engineer-llm-post-training.json","meta":{"generated_at":"2026-10-17T18:12:24Z","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":866,"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":48184},"rest":"https://alion.io/mcp/rest/get_company?id=48184"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freflection-ai-forward-deployed-engineer-llm-post-training"},{"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%2Freflection-ai-forward-deployed-engineer-llm-post-training"},{"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%2Freflection-ai-forward-deployed-engineer-llm-post-training"},{"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/reflection-ai-forward-deployed-engineer-llm-post-training\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freflection-ai-forward-deployed-engineer-llm-post-training"}]}