{"id":3157485,"url":"https://alion.io/job/george-bernard-consulting-senior-data-machine-learning-engineer-us-candidates-only","title":"Senior Data & Machine Learning Engineer (US Candidates Only)","company":{"id":4423584,"name":"George Bernard Consulting","domain":"georgebernard.co","url":"https://alion.io/company/georgebernard","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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":288000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-23T14:59:50Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T07:07:06Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Responsibilities\nDesign and run the full matching system that serves real-time personalized ad recommendations, including retrieval, ranking, and vector search.\nBuild ranking methods that balance several goals at once: click performance, advertiser returns, publisher revenue, and subscriber relevance.\nKeep the feature store accurate, remove differences between training and live serving, and own the health of the data pipelines.\nLead the data warehouse transformation layer (dbt), subscriber tagging with foundation models, and automated scorecards and dashboards.\nWork directly with the CEO and CTO to set technical priorities, with a path toward building and leading the ML team.\nRequirements\n5-16 years of hands-on production experience in machine learning, recommendation systems, or data infrastructure.\nDeep expertise in vector search, ranking algorithms, feature stores, SQL/dbt pipelines, and real-time model serving.\nAble to work hybrid in the New York City area.\nUS citizen or Green Card holder only. 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