{"id":765941,"url":"https://alion.io/job/metamorphic-ml-research-engineer-distributed-training","title":"ML Research Engineer (Distributed Training)","company":{"id":679134,"name":"METAMORPHIC","domain":"metamorphic.com","url":"https://alion.io/company/metamorphic-2","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":280000,"currency":"USD","period":"year","gross":null,"usd_annual":280000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"PyTorch","optional":false},{"name":"Diffusion Models","optional":true},{"name":"Mixture of Experts","optional":true},{"name":"Multimodal AI","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-03-26T21:09:54Z","employer_posted_date":"2026-03-26","last_verified_at":"2026-09-24T07:31:53Z","board_verified":true,"closed_at":null,"days_open":181,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":181},"description":"About Metamorphic\nMetamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. We are building foundation models trained on rich, continuous neural data - a high-resolution model of the brain at a scale never before possible.\nOur founding team spans machine learning, neuroscience, and neurotechnology, with prior work including the MICrONS project, Neuropixels, and the Enigma project, as well as foundational scientific contributions in learning, neural computation, and generative modeling. Our work sits at the frontier of AI research, and we believe the highest-impact discoveries will come from researchers and engineers working as a single, tightly collaborative team.\nThe name Metamorphic reflects our belief that the next advances in intelligence will come from a change in form, beyond scale - from artificial to natural intelligence.\nAbout the Role\nWe are hiring Research Engineers to join our growing AI research team. You will work on building and scaling the distributed systems that enable training Metamorphic’s state-of-the-art foundation models across thousands of GPU’s. This is a high-impact, technically deep role working at the frontier of ML research and engineering. You will design and optimize our distributed training framework, implement advanced parallelism strategies, build fault-tolerant infrastructure, and provide the tooling researchers need to run large-scale experiments quickly and reproducibly. You'll have substantial autonomy to shape foundational technical decisions on a small, high-impact team.\nYou'll thrive in this role if you:\nHave significant software engineering experience and can move quickly without sacrificing rigor\n\nAre able to balance research goals with practical engineering constraints\n\nAre happy to take on tasks outside your job description to support the team\n\nEnjoy pair programming and deeply collaborative work\n\nAre eager to learn more about machine learning research in a novel scientific domain\n\nAre enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research\n\nHave ambitious goals for AI progress and are excited to create the best outcomes over the long term\n\nWe offer:\nThe chance to work on one of the most scientifically consequential AI projects being pursued today\n\nA small, world-class team where your contributions directly shape the science and the company\n\nCompetitive compensation and benefits, along with visa sponsorship\n\nStrong mentorship and career development\n\nSalary Range\n$200,000 - $280,000 USD\nBased on experience. We additionally offer a competitive equity package and comprehensive benefits, as well as visa sponsorship for international candidates.\nMinimum Qualifications\nBachelor's degree or equivalent experience in Computer Science, Machine Learning, or a related field\n\nStrong software engineering skills with a proven track record of building complex systems\n\nHands-on experience building and debugging distributed training infrastructure (PyTorch FSDP, DeepSpeed ZeRO, Megatron, TorchTitan, or similar) and optimizing advanced parallelism strategies\n\nStrong understanding of GPU architecture and performance: memory hierarchy, tensor core utilization, bandwidth vs compute limitations\n\nStrong understanding of the NVIDIA ecosystem: CUDA, NCCL, NVLink/NVSwitch topologies, mixed-precision training (MXFP8/NVFP4), and profiling tools\n\nDeep familiarity with PyTorch internals, including torch.distributed, autograd, memory management, and torch.compile\n\nExperience with cloud/HPC environments and job orchestration across hundreds of GPUs\n\nNice to Have\nExperience building fault-tolerant training pipelines, including checkpointing, automatic recovery, and infrastructure for reproducible experimentation\n\nExperience with the latest in mixture-of-experts architectures, diffusion model training, or multimodal models\n\nExperience with inference serving frameworks (vLLM, TensorRT-LLM) or building custom inference solutions\n\nWe encourage you to apply even if you do not believe you meet every single qualification. If you don't see a role that fits, we encourage you to submit a general application and tell us how you'd like to contribute to our mission.","description_format":"text","description_chars":4352,"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":[],"lifecycle":[{"event":"open","at":"2026-09-11T19:59:26Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.206,"p_room":0.28,"age_days":181,"expected_fill_days":43,"reasons":["conf:7","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":280000,"is_top_pay":true},"html_url":"https://alion.io/job/metamorphic-ml-research-engineer-distributed-training","json_url":"https://alion.io/job/metamorphic-ml-research-engineer-distributed-training.json","meta":{"generated_at":"2026-09-24T11:23:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}