Top Machine Learning Jobs

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.

Lead the design and architecture of GNN and transformer-based multi-entity embedding generation for Reddit's recommendation systems, collaborating across teams and optimizing machine learning pipelines.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

Join d-Matrix as a Senior Staff ML Researcher to design and implement efficient algorithms for optimizing Large Language Model inference on DNN Accelerators.

Design and implement machine learning models and systems for programmatic advertising, maintaining data pipelines and collaborating on product roadmaps.

Design machine learning models, maintain data pipelines, develop scalable model servers, and collaborate on product roadmaps.

The role leads predictive modeling and machine learning initiatives, mentors team members, and drives innovations in data science for credit risk and operations.

Lead machine learning efforts to enhance customer onboarding and product adoption through data analysis, model development, and cross-functional collaboration.

The ML Research Engineer will optimize training frameworks, post-train models, collaborate on AI development, and create algorithms for agent training.

The Machine Learning Engineer will develop and deploy AI systems for robotics, focusing on advanced manipulation techniques and control algorithms, collaborating across teams.

Develop and deploy advanced machine learning models, optimize data pipelines, analyze experimental data, and collaborate across teams to deliver impactful AI/ML solutions.

Lead the architecture for ML models on custom silicon, influencing AI frameworks and solving performance problems across the software stack.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning systems, collaborate on AI features, and ensure reliable production performance.

The role involves developing machine learning models for neural data, collaborating with teams, and exploring new architectures. The candidate should have applied ML experience and strong programming skills.

As a Founding Machine Learning Engineer at Trove, you will develop AI applications for financial firms, focusing on data retrieval and knowledge graphs. Your role involves designing algorithms and collaborating with elite AI labs to enhance human-level capabilities in GenAI.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

The Senior Digital Twin ML Engineer will develop digital twins of robotic and experimental systems, focusing on model-identification pipelines, calibration routines, and integrating with simulation and control systems.

As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.

Collaborate on ML projects, contribute to AI product features, build prototypes, and improve models based on real-world data. Seek to improve user experiences through ML techniques.

The Principal Machine Learning Engineer will improve diffusion models, conduct research, implement techniques, and collaborate on production-ready systems in AI for fashion.

You'll lead the development of AI-driven systems for a dating platform, focusing on personalized matching algorithms and voice interactions. Responsibilities include designing ML pipelines, deploying models, and conducting experiments to improve user experience.

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

The AI/Machine Learning Engineer will develop Python-based backend systems for AI agents, focusing on building APIs, data pipelines, and integrating AI/ML capabilities into enterprise applications.

Design and implement advanced software for GPU-based machine learning applications in autonomous driving, optimizing resource usage, and collaborating on feature integrations.

As Lead Machine Learning Engineer, you will develop and deploy scalable ML models, optimize search relevance, and enhance user experience in an online marketplace environment.