{"id":1141698,"url":"https://alion.io/job/clera-machine-learning-engineer-3","title":"Machine Learning Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":59,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":325000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":257},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-23T12:14:42Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T18:45:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nThis is a mid-level Machine Learning Engineer role at a small, fast-moving AI startup in the recruitment technology space. You will own the full ML lifecycle, from problem definition through production monitoring, and work closely with product and engineering to ship models that drive real business impact.\nWhat You'll Do\nDesign, train, and evaluate machine learning models for production use cases.\n\nImplement end-to-end ML pipelines covering data preprocessing, model serving, and monitoring.\n\nCollaborate with product and engineering teams to translate business requirements into ML solutions.\n\nDebug and optimize model performance in production, iterating based on real-world feedback.\n\nWrite clean, maintainable code and contribute to ML infrastructure and tooling.\n\nParticipate in code reviews and share knowledge with the broader team.\n\nWhat We're Looking For\n3+ years of professional experience in machine learning or software engineering, with hands-on work building and deploying production ML systems.\n\nProficiency in Python for ML development and experience with at least one ML framework such as TensorFlow, PyTorch, or scikit-learn.\n\nExperience implementing end-to-end ML pipelines, including data preprocessing, model serving, and production monitoring.\n\nStrong ML fundamentals: model selection, evaluation metrics, feature engineering, and validation techniques.\n\nExperience deploying and maintaining ML systems using MLOps tools or cloud platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.\n\nExperience with A/B testing or experimentation frameworks in production environments.\n\nBackground in startup or fast-moving product environments with rapid iteration cycles.\n\nComfort with ambiguity and the ability to prioritize for impact in a dynamic setting.\n\nLocation\nThis role is on-site in San Francisco, California.","description_format":"text","description_chars":1864,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-23T12:17:25Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":6,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-09-23T19:31:18Z"},"pay":null,"html_url":"https://alion.io/job/clera-machine-learning-engineer-3","json_url":"https://alion.io/job/clera-machine-learning-engineer-3.json","meta":{"generated_at":"2026-09-23T19:31:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}