Top Senior Machine Learning Jobs

As a Senior Machine Learning Engineer, you will develop advanced machine learning and deep learning models and platforms for optimizing advertising performance and conduct complex experiments.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.

Lead product strategy and roadmaps for analytical and ML-driven systems. Build prototypes, read ML product source code, integrate solutions into business processes, run requirements, testing, training, and performance measurement. Use SQL/Python/R and Tableau/Power BI to extract and visualize data, drive automation, and collaborate with technical and business partners to deliver value.

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

Analyze data, design and implement machine learning models, build data pipelines, collaborate with teams, and keep up with advancements in AI.

As a Machine Learning Engineer, you'll design, build, and maintain models to detect security threats, ensuring model efficiency and aligning initiatives with business goals.

The Sr. Manager of Machine Learning Engineering will lead anti-cheat engineering efforts, focusing on developing and managing ML systems to detect cheating in games. Responsibilities include guiding data teams, optimizing technical strategies, and ensuring the quality of ML pipelines.

Lead a team to develop and deploy autonomous pricing algorithms for vehicle valuation, optimize pricing strategy to drive $10-25M/year in value, collaborate cross-functionally to implement models in production, and build management systems to monitor and adjust pricing in real time.

Lead development of optimal logistics planning strategies and AI-driven models to autonomously plan vehicle moves. Build and manage a 4-7 person data science team, implement production-ready optimization and ML systems, collaborate cross-functionally to deploy solutions, and measure impact to deliver $10-25M/yr in incremental value.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

Lead the Performance ML team at MNTN, driving strategy and deployment of predictive models for ad technology, while managing, mentoring, and scaling engineering teams.

The Staff Machine Learning Engineer will design and build scalable ML systems for health insights, collaborating with cross-functional teams to ensure compliance and quality in production-ready services.

The Senior Lead Machine Learning Engineer will design, implement, and scale ML applications, ensuring performance and high availability while collaborating with cross-functional teams.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

As a Lead Machine Learning Engineer at Capital One, you'll design and implement ML applications, collaborate with teams, and maintain production models, leveraging cloud technologies and best practices.

The Lead MLE will design, build, and deploy ML applications, collaborating with cross-functional teams and ensuring high performance and governance of models.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

The Algorithmic Trading Senior Manager at FanDuel will lead the algorithmic trading team, focusing on developing automated trading strategies and optimizing capital utilization while managing risk and team operations.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

Lead product strategy for AI-powered personalization and recommendation capabilities. Define requirements, partner with Data Science and Engineering to build, test, launch and optimize models, monitor performance, run experiments, prioritize enhancements using analytics, and communicate results to stakeholders while ensuring scalability, compliance and strong customer experiences.