Top Machine Learning Jobs

The Sales Manager will drive strategies and close deals for Mastercard's Test & Learn platform, manage client pipelines, present solutions, and foster client relationships.

The Sales Manager drives sales strategy for Mastercard's Test & Learn platform, cultivates client relationships, secures large deals, and collaborates internally for solutions.

As a Software Engineer Intern, you will create tools for trading strategies, develop data research platforms, and collaborate in teams to innovate.

As a Software Engineer Intern, you will create tools for trading strategies, develop research platforms, and work in small teams.

The Launch Intern will engage in an 11-week internship focused on learning about finance, collaborating with engineers, and developing technological tools to support trading strategies and data research.

The Sr. Product Designer will create user-centered mobile experiences for AI-supported mental health therapy. Responsibilities include designing workflows, collaborating with teams, and utilizing strong design skills in mobile applications.

The role involves leading a team of analysts to model credit risk losses, work with stakeholders, build cloud solutions, and communicate findings effectively.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

Interns will work on security and privacy challenges using systems programming, data analysis, and open-source development to enhance internet integrity and reliability.

The Founding Software Engineer will develop software solutions for a healthcare platform, improving patient experiences and operational efficiency, while driving engineering best practices and participating in feature development.

The Data Scientist will analyze datasets, develop predictive models, and communicate insights through visualizations and collaboration with cross-functional teams.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

As a Lead Software Engineer, you'll develop secure solutions, improve operational stability, and lead tech evaluations while driving diverse team culture.

The Product Manager will lead the design and rollout of data-driven products leveraging ML and NLP for oncology research, engaging cross-functional teams and stakeholders.

Design and develop high-performance technology tools and platforms for trading strategies, working in collaborative, innovative teams.

As a Software Engineering Intern, you will develop platforms and build web frameworks, working with senior team members on trading technologies.

As a Software Engineer, you'll design and develop high-performance systems, create trading tools, and contribute to innovative technology solutions.

The Launch Internship provides an opportunity for engineering students to work on finance projects, develop technological tools, and learn about the finance industry through collaboration and mentorship.

Interns will create tools for trading strategies, develop research platforms, and work collaboratively in small teams to build finance technology.

As a Launch Intern, you will work on technology tools in finance, collaborate with engineers, and participate in personal and professional growth opportunities.

As a Senior Principal Architect, you will create ServiceNow solution architectures, lead strategy for digital workflows, and ensure adherence to security policies.

The Data Owner Director will lead data strategy for Deposits products, ensuring data quality, supporting analytics, and mitigating data risks while collaborating with stakeholders to drive business objectives.

The Software Product Manager will lead the AI product roadmap, oversee development and delivery of AI-driven features, and enhance customer experiences while ensuring alignment with company goals.

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.