{"id":3424706,"url":"https://alion.io/job/techstarsgroup-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":4409140,"name":"TechStarsGroup","domain":"techstarsgroup.com","url":"https://alion.io/company/techstarsgroup","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":259000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kotlin","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-10-28T22:01:17Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T21:05:33Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Our client is a venture-backed company that has created a cutting-edge system designed to enhance the analysis and understanding of electronic medical records (EMRs). This system streamlines the review process of EMRs by automating manual tasks and is compatible with healthcare systems' existing computing environments or private clouds, ensuring data remains secure within the system. It intelligently screens and matches patient data to clinical criteria, significantly improving efficiency and accuracy in patient treatment options.\nAs a senior ML engineer you'll assume a leading role in an agile team of ML and software engineering practitioners who collaborate closely with our product and clinical scientist teams. You'll have the opportunity to work with the latest NLP technologies and help to invent, implement, test, and release new technologies that push the state of the art in extracting sophisticated semantics from biomedical text sources, including anonymized EMRs (electronic medical records).\nRequired Qualifications:\n4+ years of industry experience in ML-flavored software engineering (not counting internships or school work)\nBachelor's or graduate degree in Computer Science or a related field (e.g., Mathematics or Electrical Engineering)\nExperience in training, testing, deploying, and performing inference with ML models, preferably with transformer models and for NLP applications\nProficiency in Python and in Java (and/or Kotlin/Scala) or C++\nExperience with designing and implementing microservices \nProfessional experience with Git\nExperience with relational databases and/or NoSQL systems such as knowledge graphs\nExcellent communication skills\nPreferred Qualifications:\nFamiliarity with AWS\nPrevious experience in computational linguistics \nExperience with Jira and agile methodologies for software development\nResponsibilities:\nDesign, implement, and deploy software components in a microservice architecture that perform biomedical information processing\nMentor junior engineers\nWork closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality\nAnalyze performance results and convey your analyses to relevant 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