{"id":2665736,"url":"https://alion.io/job/true-talent-solutions-partners-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":325000,"currency":"USD","period":"year","gross":null,"usd_annual":325000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-10-16T02:23:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T04:57:21Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\nJoin a machine learning team building models that interpret complex documents and turn unstructured information into useful inputs for language models. You will own work end to end, from research and experimentation through production deployment, helping improve document understanding for enterprise workloads.\nWhat You'll Do\nTrain and deploy models for parsing and interpreting unstructured data.\n\nExperiment with techniques to improve language model accuracy and build tools to measure their impact.\n\nDevelop data pipelines, evaluate model performance, and integrate models into the product.\n\nWork directly with company leadership and customers to shape product direction and engineering strategy.\n\nWhat We're Looking For\nAt least 4 years of full-time machine learning engineering experience after graduation, including training, fine-tuning, and evaluating models used in production.\n\nHands-on experience with OCR and document understanding, plus one or more of vision-language models, computer vision, or large language models.\n\nStrong computer science or engineering fundamentals and experience shipping models to users.\n\nProficiency with Python and experience with relevant tools such as Streamlit.\n\nStartup experience is valued. A first- or second-author paper in computer vision, vision-language models, or document understanding is a plus.\n\nCompensation & Benefits\nBase salary: $200,000 to $325,000 annually. 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