{"id":48905,"url":"https://alion.io/job/elastix-machine-learning-research-scientist","title":"Machine Learning Research Scientist","company":{"id":10106,"name":"Elastix","domain":"elastix.ai","url":"https://alion.io/company/elastix","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":137000,"max_usd":258000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-02-19T03:30:25Z","employer_posted_date":"2026-02-19","last_verified_at":"2026-10-16T11:38:06Z","board_verified":true,"closed_at":null,"days_open":239,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":239},"description":"About Elastix AI\nWe are building the next-gen AI inference platform.\nDescription\nLocation: Seattle, WA (Hybrid - 3 days/week in office)\nAbout ElastixAI:\nElastixAI is an early-stage startup poised to revolutionize AI inference infrastructure. We are developing a cutting-edge AI inference solution that dramatically improves efficiency. Our solution is going to dynamically adapt to any deployment, constantly evolving to power the next generation AI use cases.\nRole Summary:\nWe are looking for a talented Machine Learning Research Scientist to play a key role in designing our core AI inference platform. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms. This is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale.\nKey Responsibilities:\nConduct research, prototype, and implement novel ML techniques to advance state-of-the-art in the generative AI domain.\n\nDefine and lead high impact applied research initiatives.\n\nWriting high-quality code, designing and performing experiments, and organizing results.\n\nWork alongside multi-disciplinary engineers to bring research initiatives to production.\n\nRequired Qualifications:\nPhD in Computer Science, Computer Engineering, or a related field.\n\n3+ years of experience leading Machine Learning research initiatives.\n\nDemonstrated history of research with publications in leading conferences and journals.\n\nExperience with generative models such as LLMs and VLMs.\n\nProficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX).\n\nStrong proficiency in one or more programming languages such as Python, or C++.\n\nStrong communication skills and a proven ability to collaborate effectively in a cross-functional team environment.\n\nPreferred/Bonus Qualifications:\nResearch experience in ML model efficiency and optimization.\n\nFamiliarity with performance analysis, profiling, and optimization techniques.\n\nExperience with cloud platforms (AWS, GCP, Azure).\n\nExperience with containerization and orchestration technologies (e.g., Docker, Kubernetes).\n\nWhat We Offer:\nA chance to be a foundational engineer in an innovative AI startup.\n\nA dynamic and collaborative work environment and the change to have a significant impact on new technology\n\nThe opportunity to work on challenging problems at the intersection of ML, software, and systems.\n\nCompetitive compensation and startup equity package\n\nComprehensive medical, dental, and vision coverage (100% paid by employer)\n\nFlexible Time Off 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