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Summer 2027 AI/ML Engineering Intern
Build AI agents and LLM-driven workflows for a reactor-construction OS used by teams deploying next-gen nuclear plants, shipping models and features to production.
Senior Machine Learning Scientist
(Senior) Scientist, Machine Learning About Quotient Therapeutics Quotient Therapeutics is a Flagship Pioneering company that uses somatic genomics to discover drug targets. We use high-accuracy sequencing to find rare…
Principal Software Engineer - AI Infrastructure
Overview Help build the infrastructure that trains the next generation of agentic Artificial Intelligence (AI) models at Microsoft. The Cloud + AI (C+AI) organization builds the end-to-end AI stack that powers…
Machine Learning Compiler Engineer
Compiler engineer on Jane Street's new ML Compilers team in London, building and optimizing the ML compiler stack that turns trading research ideas into high-throughput training and low-latency inference. Work spans ML frameworks (PyTorch/JAX), graph compilers (XLA/TVM/Inductor), and GPU kernels in Triton/CUDA.
Senior AI/ML Engineer
Position Overview The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This role combines…
Data Scientist
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Director, Data & AI
What Youll Be Doing (position summary): This role is accountable for shaping, delivering and evolving enterprise-grade data, data product and AI capabilities that support strategic business priorities. The incumbent…
Senior ML/AI Engineer
Senior ML/AI Engineer at a healthcare startup building the ML/AI systems and real-time decision platform that guide specialty care for joint, back, and muscle conditions. Day to day: taking predictive and GenAI models from prototype to production on Databricks and AWS — deployment, retraining, monitoring, and streaming integrations.
Artificial Intelligence Engineer
Contract AI engineer who independently designs and delivers production-grade AI/ML solutions end to end — LLM apps, RAG and agentic/multi-agent systems — with Python/Django and FastAPI backends, MLOps on cloud (Azure/AWS), working closely with US business and tech teams across time zones.
Staff Software Engineer - AI/ML Platform
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.
AI/ML Engineer
Build and deploy AI/ML models that personalize banking experiences for millions of users using financial and behavioral data, working with transformers and deep learning in a hybrid fintech environment.
Staff AI/ML Engineer
Staff AI/ML Engineer on Chime's Lending and Cashflow team, building and deploying deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions for products like MyPay, Instant Loans, and SpotMe. Day to day: owning models end to end (training, evaluation, deployment, monitoring) plus feature pipelines and real-time inference, using Pytho
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Remote Senior ML Engineer — AI Models & Data Workflows
Senior machine-learning engineer at Talantir who designs, trains and deploys ML models tackling NLP, computer vision or recommendation-system challenges, collaborating with product and engineering. Core stack: Python with TensorFlow/PyTorch/Scikit-learn plus big-data experience with Spark/Hadoop.
Senior Data Scientist
Senior Data Scientist at TENEX.AI, an AI-native managed detection and response (MDR) cybersecurity startup, designing, training, and deploying ML models for threat detection, anomaly scoring, and automated alert triage across the full model lifecycle. Stack spans Python data science tools, SQL/warehouses, MLOps, and cloud (GCP/AWS). In-person role, 4 days/week in the San Jose, CA office.