Top Machine Learning Engineer Jobs

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

This role involves developing ML models for Hinge, collaborating with teams, deploying models, and optimizing systems for performance and cost.

The role involves designing ML models, research, improving ML capabilities, mentoring engineers, and managing data at scale utilizing cloud platforms.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.

As a Principal Machine Learning Engineer, you will develop and implement advanced ML algorithms, collaborate across teams, and mentor junior engineers, driving AI integration in Atlassian products.

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.

Lead development of autonomous AI systems and multi-agent workflows. Design, implement, and ensure safe agentic solutions for enterprise services.

The role involves designing and building production systems for AI agents, implementing algorithms, mentoring engineers, and collaborating with experts on enhancing AI products.

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

Lead the vision for generative recommendations at Snap, designing and building generative models to enhance content discovery, personalization, and user engagement, while driving innovation and technical initiatives in the enterprise.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

Join Freed as an ML Engineer to optimize speech recognition models and infrastructure. Contribute to AI solutions improving clinician satisfaction.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

Lead the development of production-grade ML systems, aligning technical roadmaps with company priorities, mentoring ML engineers, and ensuring ethical use of ML/AI.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Staff Machine Learning Engineer, you'll lead ML system strategy for fraud and risk management, use analytics for decision-making, and drive technical solutions across teams.

As a Machine Learning Engineer in Quality Analytics, you will design and deploy machine learning models to solve manufacturing challenges, analyze complex datasets, and ensure model reliability through MLOps best practices.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Lead AI/ML initiatives, design and develop AI-powered solutions, mentor team, and ensure compliance with ethical standards while delivering scalable healthcare solutions.

The role involves building and optimizing ML infrastructure for large language models, collaborating with cross-functional teams, and driving ML best practices.

Build scalable ML infrastructure for Large Language Models (LLMs), automate workflows, and collaborate with cross-functional teams to enhance AI product offerings.