PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
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
1w
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AI Data Strategy Engineer / Applied Scientist, LLM Data
Overland Park, Kansas, United States
RemoteFull Time
4+ YOE4+ years in AI/ML data or NLP data engineering; bachelor’s degree or equivalent experience; hands-on Python and SQL; experience with annotation workflows, multilingual/speech/translation data, and AWS data/ML tools.
Python, SQL, S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS, ECS, IAM, KMS, Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop
1w
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Data Scientist I - Applied AI (5030)
Kansas City, Missouri, United States
OnsiteFull Time
2+ YOEBS in engineering or data science or 2 years relevant experience; US citizenship and ability to obtain DOE security clearance; software‑engineering discipline, ML/AI and LLM/NLP/RAG familiarity.
version control, CI/CD, LLMs, NLP, RAG
1w
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Data Scientist II - Applied AI (5031)
Kansas City, Missouri, United States
OnsiteFull Time
2+ YOE2+ years data science experience or BS in engineering/data science (or 2 years experience in lieu), U.S. citizenship, ability to obtain DOE security clearance, strong ML/AI and software‑engineering skills.
Spark, Kafka, Git, Azure, AWS, LLMs, NLP, RAG, CI/CD
1w
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Sr Data Scientist - Applied AI (5032)
Kansas City, Missouri, United States
OnsiteFull Time
5+ YOE5+ years data science experience, US citizenship, ability to obtain DOE security clearance, strong ML/AI and software-engineering skills, experience with cloud deployment and big-data frameworks.
JavaScript, Python, Java, C++, SQL, Spark, Kafka, Azure, AWS, CI/CD, LLMs, NLP, RAG