Top Machine Learning Engineer Jobs

The Software Engineer L5 will design, build, and maintain developer productivity tools for machine learning teams, requiring strong software engineering and design skills with a focus on large CI/CD systems.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Research Engineer to develop efficient training and serving of large language models. Focus on engineering improvements for deep neural networks.

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.

The Data Engineer will build and scale data systems and machine learning models, collaborate with team members, and enhance data pipelines and quality systems for Netflix's Knowledge Graph.

The Research Engineer will analyze AI systems, develop AI training platforms, collaborate with teams, and enhance educational applications using generative AI.

As an ML Ops Engineer, you'll build and maintain MLOps infrastructure, design automated training pipelines, deploy ML models, and collaborate with teams to optimize GCP resources for Physics AI applications.

The Software Engineer, MLOps will build cloud infrastructure, develop ML tooling, optimize workloads, and enhance CI/CD pipelines while supporting ML-focused projects.

Optimize the performance of ML models for training and inference. Focus on CUDA optimization and systems approach, ensuring low latency and high throughput in real-time. Debug and utilize modern tools and techniques for system performance improvements.

The role involves shaping the CV strategy, building ML solutions in production, and integrating them with software systems, focusing on computer vision applications.

Develop Cloud Data Infrastructure for Assured AI in autonomous vehicles, focusing on ML model training, evaluation, and deployment.

Lead the design and delivery of ML infrastructure and models, mentor engineers, and drive innovation in AI-powered intelligence at Upwork.

The role involves building ML inference infrastructure for simulations, ensuring reliability and user experience for deployment and serving of ML models.

Nagarro is looking for an Associate Staff Engineer specializing in Machine Learning to tackle client challenges and enhance team collaboration, while pushing solutions further.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

The Senior Machine Learning Engineer will enhance fraud detection capabilities through ML technologies, improve model performance, and lead high-impact ML projects from experimentation to production.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.

Responsible for architecting high-performance machine learning silicon, collaborating with software and design engineers, and driving innovation in AI hardware solutions.

The ML Engineering Intern will contribute to the Nebula LLM development, tackle machine learning challenges, and gain hands-on experience in AI and language technology.

As a Robotics ML Research Engineer, you will develop and deploy ML models for robocontrol, lead data collection infrastructure, and advance robotics learning research.

Join ComfyUI to optimize model inference and build a core engine for AI models, ensuring efficiency and performance in visual AI workflows.

As a Machine Learning Engineer, you will deploy models to production, manage data pipelines, and collaborate with partners, focusing on MLOps best practices.

Design and deploy intelligent systems to automate infrastructure workflows using advanced technologies. Rapid prototyping and production of applied AI solutions is essential.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.