{"id":95704,"url":"https://alion.io/job/together-research-engineer-post-training-inference","title":"Research Engineer, Post-Training Inference","company":{"id":36054,"name":"Together AI","domain":"together.ai","url":"https://alion.io/company/together","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":92,"open_postings":71,"ghost_share":0,"stale_share":0.31,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":290000,"currency":"USD","period":"year","gross":null,"usd_annual":290000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Cursor","optional":false},{"name":"ElevenLabs","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Together AI","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"PEFT","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-07-06T18:21:40Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-17T06:42:08Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":102},"description":"About the role\nThe Model Shaping team at Together AI works on products and research focused on tailoring open foundation models to downstream applications. We build services that enable machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad range of ideas across machine learning, natural language processing, and ML systems.\nAs a Research Engineer within Model Shaping, you will develop a platform that enables users to customize open-source models with their own data. Working across the training and inference stacks, you will build and improve our Fine-Tuning, Reinforcement Learning, and Evaluation services - from ensuring a seamless path from post-training to production serving, to optimizing the inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering teams to keep the API reliable, performant, and well integrated into the company's technical infrastructure. Above all, you will help build the foundational layer of the open-source AI ecosystem, enabling developers around the world to efficiently create high-quality models tailored to their specific applications.\nResponsibilities\nDesign and build Together’s systems for customizing open-source models\nBuild integrations between the Model Shaping and Inference platforms to ensure a seamless path from post-training to serving production workloads\nAdd features to inference engines for large-scale post-training experiments, including optimizations for RL workloads\nMake sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform\nRequirements\nHave 2+ years of experience building and deploying machine learning-based services in a production environment\nHave hands-on experience with modern inference engines, such as SGLang, vLLM, and TensorRT-LLM\nAre familiar with the latest methods for fine-tuning LLMs and other AI models\nHave a strong software engineering background in Python or Go\nStay up to date with the latest advances and trends in the machine learning community\nExperience in any of the following will make you stand out\nServing low-precision (FP4/FP8) models, multiple LoRA adapters within one model instance (Multi-LoRA), or models distributed across several GPU nodes\nOptimizing the performance of RL training workloads\nDeveloping CUDA/Triton/CuTE DSL kernels for inference\nDeveloping large-scale and high-load production systems\nMaintaining or contributing to open-source ML projects\nManaging machine learning workloads on Kubernetes clusters\nAbout Together AI\nTogether AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\nPlease see our privacy policy at https://www.together.ai/privacy","description_format":"text","description_chars":3955,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Foundation Models","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-07-06T18:21:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 48 · green card filings: 1","filings_12m":48,"filings_prev_12m":22,"green_card_filings_12m":1,"median_offered_wage_usd":207398,"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)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":41}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.502,"p_room":0.36,"age_days":102,"expected_fill_days":55,"reasons":["conf:3","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":290000,"is_top_pay":true},"html_url":"https://alion.io/job/together-research-engineer-post-training-inference","json_url":"https://alion.io/job/together-research-engineer-post-training-inference.json","meta":{"generated_at":"2026-10-17T06:49:16Z","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":9390,"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":36054},"rest":"https://alion.io/mcp/rest/get_company?id=36054"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftogether-research-engineer-post-training-inference"},{"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%2Ftogether-research-engineer-post-training-inference"},{"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%2Ftogether-research-engineer-post-training-inference"},{"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/together-research-engineer-post-training-inference\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftogether-research-engineer-post-training-inference"}]}