PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
1mo
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Lead Machine Learning Engineer
Boston, Massachusetts, United States
$153k-$191k/yr RemoteFull Time
7+ YOE7+ years software engineering; 5+ years MLOps/ML platform; strong AWS SageMaker; Python; Terraform; experience with MLflow, Weights & Biases; able to work autonomously.
AWS SageMaker, SageMaker Unified Studio, MLflow, Weights & Biases, Terraform, Python
1mo
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Machine Learning Ops Eng II
Westwood, Massachusetts, United States
$74k-$119k/yr HybridFull Time
3+ YOEBachelor's degree or comparable experience required; 3+ years data engineering/MLops experience; proficiency with SQL and Python, familiarity with ETL and cloud platforms (AWS/Azure/GCP); project management, mentoring, and strong communication skills.
SQL, ETL, Python, AWS, Azure, GCP
1mo
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Director Artificial Intelligence and Machine Learning (59360)
Providence, Rhode Island, United States
$185k-$241k/yr OnsiteFull Time
10+ YOE3+ MgmtMaster's in CS/AI/ML required (PhD preferred); 10+ years AI/ML experience; 5+ years leadership; 3+ years managing data science/engineering teams; cloud platform certs (AWS/Azure/Google Cloud) and AI/ML/data science certs preferred.
AWS, Azure, Google Cloud
4w
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Technical Lead Manager, MLOps
New York City or United States or Philadelphia or Boston
$199k-$241k/yr HybridFull Time
6+ YOEBachelor's degree plus 6+ years (or Master's plus 4+ years) in ML engineering; experience building ML platforms, training/serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines; experience managing ML Platform/ML Ops teams; hands-on with Ray, Flink, Feast; cloud data tooling (AWS, Redshift, Databricks, Snowflake); s...
Ray, Flink, Feast, AWS, Redshift, Databricks, Snowflake, Python