Top Senior Machine Learning Jobs

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.

The Staff ML Engineer will lead architecture decisions for ML infrastructure, operate real-time computer vision systems, and mentor engineers, ensuring high-quality ML deployment and operational excellence at SimpliSafe.

Design, develop, and enhance AI/ML software solutions, collaborate with teams, and work with large datasets to support mission operations.

The role involves applying machine learning in drug discovery, leading model development, collaborating with cross-functional teams, and mentoring staff.

Lead design, development, and production deployment of ML models and GenAI/LLM solutions to optimize clinical trial workflows. Build scalable pipelines, monitoring, and CI/CD for robust production use. Collaborate cross-functionally, mentor junior engineers, and communicate technical results to technical and non-technical stakeholders.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

Design, implement, and evaluate reinforcement learning algorithms for robotic control and motion planning. Integrate RL policies with hardware and perception stacks, build sim-to-real pipelines, run experiments on physical robots with safety protocols, and optimize models for embedded, real-time constraints.

The Senior Machine Learning Scientist will lead the development of ML systems for personalized CRM marketing, define technical roadmaps, and mentor team members while collaborating with cross-functional teams.

Lead design and implementation of post-training alignment pipelines (SFT, RLHF, RLAIF) using proprietary medical data. Improve model calibration, safety, and clinical correctness via novel techniques, distributed training on GPU clusters, and rigorous evaluation frameworks. Collaborate with co-founders to define research roadmap and ship production-ready ML systems.

As a Software Development Engineer (AI & ML), you'll architect and implement scalable ML models, optimize data pipelines, and collaborate with teams to deliver financial tech solutions.

The Senior ML Engineer will architect data pipelines, develop classification algorithms, manage data integration, and mentor team members in a cross-functional setting.

As a Machine Learning Engineer, you'll build and enhance features for a search stack, design ML/NLP solutions, and implement an experimentation framework while ensuring code quality.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning models, conduct research, and collaborate on data solutions.

The Founding ML Engineer will develop and deploy ML systems, collaborate with teams, and translate ambiguous problems into production ML solutions, shifting between client delivery and platform development.

As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Senior ML Engineer will build and maintain large-scale ML production pipelines, focusing on delivering production-grade solutions and collaborating with R&D teams. Responsibilities include prototyping new algorithms, managing datasets, and optimizing ML models for customer impact.

The Senior Applied Scientist will develop machine learning solutions for personalization, pricing optimization, and fraud detection, leading model development and experimentation while collaborating with various teams.

As a Software Engineer in Machine Learning, you will develop and deploy production-grade ML solutions, collaborate with teams, and establish operational excellence in ML practices.

Develop and improve recommendation models for Spotify's music services, drive hands-on machine learning development, and collaborate across teams to integrate new signals in ML systems.

The Applied ML Engineer will research and build AI/ML systems, own model development, partner with teams to impact marketplace metrics, and establish best practices for AI/ML at Paraform.

Lead the design and implementation of GPU compute clusters for deep learning and high-performance workloads, manage large-scale systems and ensure efficient resource utilization.

Design, train, and deploy machine learning models for RF signal detection, classification, and vessel activity tracking in maritime intelligence.

Lead the design and production of ML systems for Pinterest's ads measurement products. Collaborate with various teams to improve measurement quality and contribute to technical direction and best practices.

The Senior Machine Learning Engineer will design, deploy, and mentor on ML models, collaborate with customers, and influence product direction. Responsible for robust ML systems and data pipelines.