Top Senior Machine Learning Jobs

Develop and optimize machine learning models and pipelines for autonomous vehicles, focusing on behavior prediction. Collaborate with teams, lead projects, and ensure high-quality implementations.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

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

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

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 AI/ML Technical Lead, you'll lead the design and implementation of ML/AI solutions, foster collaboration between teams, and optimize performance while mentoring teams.

The Senior Machine Learning Engineer will design, train, and evaluate ML models to solve complex problems, mentor others, and optimize production systems.

The ML Engineer will design and automate evaluation pipelines, curate datasets, deploy voice models, and ensure model performance while scaling workloads.

The Lead AI/ML Engineer will develop AI systems, optimize ML models, collaborate with teams, and mentor junior members while ensuring quality in software projects.

As a Principal Machine Learning Engineer, you will develop optimization algorithms, manage deployment pipelines, and mentor engineers in deep learning techniques.

The Senior ML Research Engineer will design experiments, develop scalable code, collaborate on performance benchmarking, and contribute to publications in machine learning and AI optimization.

As a Machine Learning Engineer, you'll build AI solutions from structured leadership data, develop RAG-based agents, and enhance the Leadership Intelligence Platform, focusing on efficiency and collaboration with research partners.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

The Senior Machine Learning Engineer will develop and deploy ML models for the electric grid, mentor junior engineers, and collaborate across teams to tackle complex energy challenges.

The role involves providing technical leadership in machine learning infrastructure, designing scalable systems, and optimizing large models for autonomous vehicles.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

The Senior Machine Learning Engineer will design and develop AI solutions, mentor junior engineers, and collaborate with cross-functional teams to drive business value.

As a Senior Machine Learning Engineer, you'll develop ML-driven features, perform data analysis, build scalable models, and enhance model performance.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

As a Senior Machine Learning Engineer at Axon, you will develop AI solutions for public safety, collaborate on ML model training, and implement secure architectures. You will engage with diverse AI domains and drive ethical AI practices.

As a Senior Machine Learning Engineer at Axon, you'll develop AI solutions for public safety, collaborating on training and deploying machine learning models, while ensuring ethical AI development.

The Principal Machine Learning Engineer will develop optimization algorithms, enhance LLM deployments, and collaborate with research teams on model performance and compression.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Design and maintain scalable ML models for logistics. Own end-to-end projects and collaborate with teams to deliver impactful customer features.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.