Top Machine Learning Jobs

14-month paid apprenticeship combining Flatiron School Data Science coursework (20 hrs/wk) with 20 hrs/wk of paid engineering work. Contribute to production software, write testable code, participate in sprints and code reviews, support feature development, QA, and documentation while receiving mentorship and building an AI/ML-focused portfolio.

Senior Software Engineer role focused on building AI capabilities for an engineering AGI product. Collaborate with a team to integrate cutting-edge machine learning into real-world engineering systems and shape product design.

As a Senior Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure high availability. You'll utilize cloud technologies and optimize data pipelines while adhering to best practices in machine learning engineering.

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 intern will conduct research on machine learning and driving behaviors, work with driving datasets, collaborate on deploying results, and publish findings.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

The AI Engineer will design and develop AI-driven solutions, conduct data analysis, build machine learning models, and integrate them within existing systems.

Lead the Search Machine Learning team at Slack, driving search quality improvements and collaborating with product and technical teams to enhance user experiences.

Lead applied machine learning research to enhance ML validation for robotics and autonomous driving systems, focusing on simulation-based evaluation and prototype development.

Design, develop, and implement machine learning models and algorithms. Collaborate with cross-functional teams to deploy scalable ML solutions and analyze large datasets for insights.

Lead the direction of machine learning solutions in aviation, utilizing ML techniques for data analysis, model fine-tuning, and deployment, collaborating with cross-functional teams to enhance aviation safety.

The Senior Staff Machine Learning Engineer will drive the architecture and delivery of AI systems focused on fraud detection and risk assessment, leading initiatives across teams while mentoring engineers.

The Principal AI/ML Software Engineer drives ML technology strategy and innovation, develops solutions for complex problems, and leads cross-functional initiatives while shaping the technical vision and architectural frameworks for AI/ML.

As a Principal Engineer specializing in AI/ML, you'll define the technology strategy, lead cross-functional initiatives, and develop innovative ML solutions while influencing technical decisions across the organization.

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

Design and build AI-powered consumer products, partner with cross-functional teams, and lead the development of machine learning systems.

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

Design and implement ML models to combat financial crimes, collaborate with stakeholders, and maintain regulatory documentation while leading ML practices.

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.

Develop next-generation models and trading strategies using machine learning and advanced statistical techniques to extract patterns from complex datasets.

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

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.

Oversee strategic development and execution of analytics and machine learning initiatives. Mentor teams, manage projects, enforce data governance, and collaborate cross-functionally.