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Job Summary At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good – protecting food, protecting people, and protecting the planet. By doing so we touch millions of…
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll…
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy,…
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of…
The role involves developing and deploying AI/ML models (MLOps Engineer) and extracting insights from data (Data Scientist) for Akkodis’ global tech/engineering projects, focusing on Python, Kubernetes, and data pipelines.
About The Center for AI Safety (CAIS) The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. Some of our past achievements include: releasing…
Design and implement evaluation frameworks for ML and computer vision models, analyze failures, and build scalable tools to ensure robust real-world performance.
Intern developing deep learning models with PyTorch on GPUs for computational protein and antibody therapeutic design at a biotech startup.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Build and optimize deep learning computer vision models for autonomous agricultural and construction vehicles, working with multi-sensor data and deploying to edge platforms using PyTorch and TensorFlow.
Build and deploy AI/ML models (NLP, computer vision, prediction) using Python and cloud tools to automate workflows and improve decision-making in a design-focused architecture firm.
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
4-month research fellowship building AI safety/security projects with public outputs, mentored by Anthropic researchers using open-source tools and compute budgets.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Develops and deploys computer vision and deep learning models for UAV navigation and autonomy on edge hardware, from research to production, using Python and PyTorch.
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Develops AI/ML models and analyzes large datasets for national security applications using Python, PyTorch, and TensorFlow in a Maryland-based role.
Data Scientist in McLean, VA applies NLP and Python/SQL to transform raw text and structured data into actionable insights for national security decision-makers.
A senior engineer who resolves complex Spark/ML/AI issues for Databricks’ largest customers, trains teams, and collaborates cross-functionally to deliver technical solutions aligned with business goals.
The Agentic DevOps Lead will lead Agentic DevOps initiatives, architecting and operationalizing a reusable DevOps framework for agentic applications across AWS, Azure, and GCP cloud environments, while leading cross-functional teams of engineers and DevOps specialists.
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