{"id":54580,"url":"https://alion.io/job/lightning-ai-senior-research-engineer-llm-training-post-training","title":"Senior Research Engineer, LLM Training & Post-Training","company":{"id":9002,"name":"Lightning AI","domain":"lightning.ai","url":"https://alion.io/company/lightning-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":17,"ghost_share":0,"stale_share":0.176,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":310000,"currency":"USD","period":"year","gross":null,"usd_annual":310000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CUDA","optional":false},{"name":"DeepSpeed","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"GRPO","optional":false},{"name":"Hugging Face","optional":false},{"name":"Lightning Fabric","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"PEFT","optional":false},{"name":"Post-training","optional":false},{"name":"PPO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch Lightning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT","optional":false},{"name":"Transformers","optional":false},{"name":"Triton","optional":false},{"name":"TRL","optional":false},{"name":"vLLM","optional":false}],"status":"closed","first_seen_at":"2026-08-12T19:54:51Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-22T16:26:22Z","board_verified":false,"closed_at":"2026-10-22T16:26:22Z","days_open":70,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":70},"description":"Who We Are\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\nThe Way We Work\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\nWhat We're Looking For\nWe're are looking for an experienced Senior Research Engineer who has built, trained, and optimized modern transformer-based language models to join our Research Engineering function at Lightning.\nThis role will focus on advancing how large language models are trained, fine-tuned, evaluated, and deployed across Lightning AI's platform and real-world customer workloads. It will work across model training, post-training, PyTorch, distributed systems, and AI systems engineering to improve model quality, training efficiency, and developer productivity while collaborating closely with researchers, infrastructure engineers, and customers.\nWe're looking for someone who enjoys turning cutting-edge research into production systems. You have deep experience training and improving transformer-based language models, strong software engineering fundamentals, and a passion for solving difficult problems across model training, evaluation, and AI systems. Rather than building applications on top of existing models, you're motivated by improving the models themselves and the systems that power them. Our work spans models that power the Lightning AI platform, customer-specific model workloads, and research that translates into reusable training and platform capabilities.\nThis role is hybrid with a minimum of 2 in-office days per week in San Francisco, Seattle, NYC, or London, with fully remote work considered for candidates outside of our office hub locations. All employees participate in occasional team and company offsites.\nWhat You'll Do\nDesign, build, and optimize training and post-training pipelines for large language models.\nImprove model quality through supervised fine-tuning, continued pretraining, preference optimization, reinforcement learning, evaluation, and experimentation.\nBuild and improve PyTorch-based training infrastructure, tooling, and developer workflows.\nOptimize distributed training across multi-GPU environments by improving throughput, memory efficiency, scalability, and GPU utilization.\nInvestigate model training issues, including convergence, instability, communication overhead, and performance bottlenecks.\nDesign evaluation methodologies, benchmark models, analyze failure modes, and acheive model improvements through experimentation.\nCollaborate directly with customers to understand real-world workloads and translate those learnings into improvements across Lightning AI's research platform.\nPartner closely with research, infrastructure, and platform engineering teams to build production-ready AI systems.\nContribute to open-source projects through new features, tooling improvements, documentation, and community engagement\nWhat You’ll Need\nRequired Qualifications\nSignificant experience training, fine-tuning, evaluating, and/or optimizing transformer-based language models using PyTorch.\nExperience with modern LLM training and post-training techniques such as continued pretraining, SFT, RLHF, preference optimization (DPO, PPO, GRPO), reward modeling, or similar approaches.\nStrong understanding of distributed training and multi-node systems, with experience improving training performance, scalability, and/or efficiency.\nStrong software engineering fundamentals, including building production-quality Python software and research tooling.\nExperience designing experiments, evaluating model performance, and debugging complex training and/or optimization issues.\nExcellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements.\nComfortable working in fast-moving, ambiguous environments where priorities evolve over time.\nMaster's degree, PhD, or equivalent industry experience in Machine Learning, AI, Computer Science, or a related field\nIdeal Experience\nExperience with one or more of the following:\nDeepSpeed, FSDP, Megatron-LM, Hugging Face Transformers, TRL, PEFT, Lightning Fabric, NVIDIA Molt, or similar training frameworks.\nCUDA, Triton, vLLM, SGLang, TensorRT, or other AI systems and performance optimization technologies.\nGPU performance optimization, mixed precision, memory optimization, or distributed training optimization.\nOpen-source contributions, research publications, or production AI platforms supporting large-scale training or inference workloads.\nStartup experience or experience working on highly cross-functional engineering teams.\nCompensation\nWe are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.\nThe anticipated annual base salary range for this role is:\n$165,000—$310,000 USD\nBenefits and Perks\nWe offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\n Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\n In-Office Meals: Complimentary meals at our office hubs.\nBenefits may vary by location, team, and role.\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","description_format":"text","description_chars":8474,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Flexible time off","Hybrid work","Office meals","Parental leave","Professional development","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-08-12T19:54:51Z"},{"event":"close","at":"2026-10-22T16:26:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":152500,"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":1}],"liveness":null,"pay":{"stated_usd_annual":310000,"is_top_pay":true},"html_url":"https://alion.io/job/lightning-ai-senior-research-engineer-llm-training-post-training","json_url":"https://alion.io/job/lightning-ai-senior-research-engineer-llm-training-post-training.json","meta":{"generated_at":"2026-10-23T05:15:26Z","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":8646,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":9002},"rest":"https://alion.io/mcp/rest/get_company?id=9002"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flightning-ai-senior-research-engineer-llm-training-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%2Flightning-ai-senior-research-engineer-llm-training-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%2Flightning-ai-senior-research-engineer-llm-training-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/lightning-ai-senior-research-engineer-llm-training-post-training\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flightning-ai-senior-research-engineer-llm-training-post-training"}]}