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Build and ship production-grade LLM agents and copilots for internal teams, focusing on evaluation, reliability, and developer tooling in a cloud-native stack.
Senior ML engineer on Waymo's Predictive Planning team designs and deploys deep learning models that predict the future state of the world and plan the autonomous vehicle's behavior, working across data, modeling, metrics, and planner system architecture using TensorFlow/JAX/PyTorch on Google's data infrastructure.
In this AI/ML ASIC Performance Engineer position, you will develop AI Storage Solutions based advanced system architectures and AI/ML Accelerator ASIC architecture specifications for Sandisk’s next generation products.…
Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we’ve…
Lead research on protein structure prediction and co-folding foundation models, owning them end to end—from architecture and large-scale distributed training on GPU clusters to evaluation and integration into LILA's closed-loop drug discovery platform using PyTorch/JAX.
Senior ML engineer on Apple's Siri SCALE team, building offline evaluations and high-quality datasets to statistically measure Siri and Apple Intelligence models at scale. Day-to-day is Python-based ML/data work on large-scale conversational AI evaluation, with strict privacy constraints.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of…
Builds and maintains agentic AI automations that take real customer actions (refunds, order updates, escalations) plus the Python backend services behind them: prompt engineering, RAG/vector search, agent frameworks like LangChain/LangGraph, FastAPI/Flask/Django, and n8n workflows. In-person in Islamabad with 6pm-2am PKT hours.
Senior data science role at JPMorgan Chase (Corporate Technology) in Jersey City, NJ: design and productionize AI/ML, GenAI and agentic solutions — LLMs with LangChain/LangGraph, Python/PySpark, Databricks data workflows — while partnering with business stakeholders and mentoring other AI/ML team members.
A senior hands-on engineer on JPMorgan Chase's Risk Technology team who designs, builds, and runs production Python ML/NLP systems — including LLM and agentic AI applications — using Spark/Databricks, Flask/FastAPI, and Airflow in a regulated banking environment.
Semi-senior ML engineer at Mutt Data, a remote ML/data consultancy, embedded on a project for a multinational beverage client in Mexico City. Day to day: industrializing, deploying, monitoring, and scaling ML models in production using Python, Spark, MLflow, Databricks, Docker/Kubernetes, and Azure.
Senior individual contributor on Fullscript's AI & Analytics team building LLM-powered healthcare features: AI lab summaries, practitioner-facing conversational agents, and clinical decision support. Day to day is Python backend work (with growing Elixir exposure), RAG/prompting/grounding, and building evaluation and monitoring for production AI systems.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Senior AI/ML Engineer supporting Software & Cyber Engineering for NSWC Crane's Maneuver, Surveillance, & Engagement Division, leading engineering, building, testing, and deploying advanced cloud-enabled AI/ML solutions (e.g., computer vision, sensor fusion, LLMs, RAG) to enhance warfighter capabilities.
Senior ML engineer on Sber's algorithmic trading team, building agentic AI tooling: code-quality validation pipelines, LLM-based technical agents for production support, multi-agent systems (LangGraph/AutoGen/DSPy), RAG pipelines, and agent quality evaluation. Core stack is Python with LLM agent frameworks, vector DBs, and tracing/observability tools.
Senior Machine Learning Engineer at Roku in Cambridge, UK, building and optimizing AI-powered search and recommendation systems for Roku's streaming platform using deep learning, LLMs, and online A/B testing.
Senior Machine Learning Engineer on MercadoLibre's Labs & Science Kit team designs and scales ML infrastructure: Python microservices for training, inference and large-scale data flows, GPU-accelerated optimization, and generative AI tooling (MCP servers, agents). Hybrid role based in Bogotá and Medellín, Colombia.
Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust…
AXA Switzerland in Winterthur seeks a Senior Data & ML Engineer (80-100%, smart working) to build its new Lead Engine from scratch: designing data pipelines, MLOps workflows and AI-agent API services on Google Cloud Platform, optimizing MongoDB, and ensuring reliability through Infrastructure as Code, CI/CD, and automated testing.
Seeking to fill in a full stack Python Sr.ML engineer for immediate hybrid contract opportunity with my direct client in Chicago IL. If interested , share your word document resume, work authorization, expected hourly…
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