{"id":694769,"url":"https://alion.io/job/featherless-machine-learning-engineer-inference-optimization","title":"Machine Learning Engineer — Inference Optimization","company":{"id":673367,"name":"Featherless","domain":"featherless.ai","url":"https://alion.io/company/featherless","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":60,"open_postings":16,"ghost_share":0.75,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"KV Cache","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"ROCm","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"Triton","optional":false},{"name":"LLM","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-01-22T05:35:09Z","employer_posted_date":"2026-01-22","last_verified_at":"2026-10-28T14:24:36Z","board_verified":true,"closed_at":null,"days_open":279,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":278},"description":"About the Role\nWe’re looking for a Machine Learning Engineer to own and push the limits of model inference performance at scale. You’ll work at the intersection of research and production-turning cutting-edge models into fast, reliable, and cost-efficient systems that serve real users.\nThis role is ideal for someone who enjoys deep technical work, profiling systems down to the kernel/GPU level, and translating research ideas into production-grade performance gains.\nWhat You’ll Do\nOptimize inference latency, throughput, and cost for large-scale ML models in production\n\nProfile and bottleneck GPU/CPU inference pipelines (memory, kernels, batching, IO)\n\nImplement and tune techniques such as:\nQuantization (fp16, bf16, int8, fp8)\n\nKV-cache optimization & reuse\n\nSpeculative decoding, batching, and streaming\n\nModel pruning or architectural simplifications for inference\n\nCollaborate with research engineers to productionize new model architectures\n\nBuild and maintain inference-serving systems (e.g. Triton, custom runtimes, or bespoke stacks)\n\nBenchmark performance across hardware (NVIDIA / AMD GPUs, CPUs) and cloud setups\n\nImprove system reliability, observability, and cost efficiency under real workloads\n\nWhat We’re Looking For\nStrong experience in ML inference optimization or high-performance ML systems\n\nSolid understanding of deep learning internals (attention, memory layout, compute graphs)\n\nHands-on experience with PyTorch (or similar) and model deployment\n\nFamiliarity with GPU performance tuning (CUDA, ROCm, Triton, or kernel-level optimizations)\n\nExperience scaling inference for real users (not just research benchmarks)\n\nComfortable working in fast-moving startup environments with ownership and ambiguity\n\nNice to Have\nExperience with LLM or long-context model inference\n\nKnowledge of inference frameworks (TensorRT, ONNX Runtime, vLLM, Triton)\n\nExperience optimizing across different hardware vendors\n\nOpen-source contributions in ML systems or inference tooling\n\nBackground in distributed systems or low-latency services\n\nWhy Join Us\nReal ownership over performance-critical systems\n\nDirect impact on product reliability and unit economics\n\nClose collaboration with research, infra, and product\n\nCompetitive compensation + meaningful equity at Series A\n\nA team that cares about engineering quality, not hype","description_format":"text","description_chars":2336,"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":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-11T01:42:21Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.194,"p_room":0.28,"age_days":279,"expected_fill_days":7,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/featherless-machine-learning-engineer-inference-optimization","json_url":"https://alion.io/job/featherless-machine-learning-engineer-inference-optimization.json","meta":{"generated_at":"2026-10-28T16:53:26Z","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":22998,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":673367},"rest":"https://alion.io/mcp/rest/get_company?id=673367"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffeatherless-machine-learning-engineer-inference-optimization"},{"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%2Ffeatherless-machine-learning-engineer-inference-optimization"},{"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%2Ffeatherless-machine-learning-engineer-inference-optimization"},{"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/featherless-machine-learning-engineer-inference-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffeatherless-machine-learning-engineer-inference-optimization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":694769}},{"tool":"search_jobs","arguments":{"company":"featherless.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":694769},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}