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Software Engineer applying Python to AI video processing challenges at a deep tech media company building XR, interactive streaming, and cloud-native media infrastructure.
Senior ML Engineer leads end-to-end production ML systems for Amperity’s AI-first customer data platform, focusing on identity resolution, segmentation, and predictive modeling at scale. Owns architecture, deployment pipelines, and MLOps tooling while collaborating with cross-functional teams to deliver measurable business impact.
Build predictive models, time-series forecasts, and generative-AI tools to automate sales insights and optimize revenue for AMD’s Sales Operations team using Python, SQL, and ML frameworks.
Designs and sells high-performance server and AI computing solutions for government and finance clients, translating business needs into scalable hardware architectures and technical proposals.
Evaluate AI-generated data science solutions and ML outputs for accuracy and reasoning quality on a part-time hourly contract, using Python, SQL, and statistical modeling expertise.
Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and technical soundness, providing structured expert feedback to improve next-generation AI systems using Python, SQL, and ML frameworks.
Develop production-ready grasping and manipulation algorithms for industrial robots, building a software layer that abstracts robotics complexity into intuitive workflows using C++ and Python.
Software Engineer on the Perception team at Intrinsic (Google's AI robotics group), building and deploying deep learning and 3D computer vision models for industrial robots using frameworks like PyTorch, TensorFlow, or JAX in Python/C++.
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) developing and deploying production-ready grasping and manipulation algorithms from research to global deployment, primarily using C++, Python, and applied machine learning.
Research and develop post-training methods (RLHF, SFT, PEFT, reward-based optimization) for Enchant, Iambic's large multimodal transformer model used in drug discovery, using Python and PyTorch at scale.
Research and develop post-training methods for a large multimodal transformer model (Enchant) in drug discovery, focusing on fine-tuning, reinforcement learning, and evaluation frameworks to advance AI-driven therapeutic development.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Build and scale enterprise-grade generative AI systems using Python, AWS, and frameworks like LangChain; design agentic workflows, RAG pipelines, and secure AI services for Fortune 500 clients.
Manage a team of ML engineers at a fraud detection company, driving innovation in real-time ML fraud models using the Python data stack while staying 30-40% hands-on in the codebase.
We are looking for an experienced engineer to lead performance autotuning on MTIA — Meta's custom training and inference accelerator. You will lead the MTIA Software Performance Autotuning team (part of Infra…
Leads ML/AI operations for GoFundMe’s production systems, ensuring reliability, scalability, and safety of ML pipelines, model serving, and observability infrastructure. Manages a team to optimize ML lifecycle from data to deployment, balancing innovation with operational rigor.
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast…
Senior ML Engineer designing and deploying recommendation systems, search algorithms, and full-stack ML pipelines at scale for Tubi's free streaming platform.
Develop open-source ML tools and a flagship product, packaging models into reusable software components and building libraries, pipelines, and APIs for ML researchers. Core tech: Python, TensorFlow, PyTorch, scikit-learn.
ML Engineer fine-tuning open-source LLMs and building AI agents for Lyft's Safety and Customer Care team using PyTorch, LangGraph, and post-training methods like SFT, LoRA, and RLHF.
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