Top Machine Learning Jobs in Philadelphia, PA

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

The Sr. Channel Manager will drive revenue and partnership growth, strategize with key partners, and foster collaboration across the organization. Responsibilities include pipeline generation, tactical execution, and motivating sales teams to achieve goals.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

The Senior Software Engineer will design and build innovative software products, tackle complex problems across multiple systems, and work closely with various teams to enhance customer outcomes in physical operations.

As a Staff Research Scientist, you'll advance machine learning for autonomous driving, mentoring teams and publishing at top conferences while designing innovative algorithms.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

As a Senior Product Manager, you'll shape product vision and strategy, gather requirements, and collaborate with teams to deliver innovative healthcare solutions.

The Product Manager will contribute to product development, communicate with leadership, analyze market data, collaborate with engineers and designers, and oversee product positioning.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

The Senior Product Manager leads the Cloud Infrastructure Entitlement Management product, balancing market needs with organizational strategy, engaging stakeholders, and managing the product lifecycle in a fast-paced environment.

As an AI Readiness and Enablement Intern, you'll create training materials, conduct research on AI trends, and support change management initiatives to enhance workforce adoption of AI at Cencora.

As an AML/Sanctions Data Scientist Manager, you'll lead teams in delivering AI/ML solutions for financial crime detection, mentor junior staff, and enhance client operations through advanced analytics.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The Summer Analyst will engage in operational tasks, assist in client lifecycle management, and improve processes within the Operations function over a 9-week program.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

Manage advanced data analytics for credit strategies, optimize risk models, mentor a team, and oversee project completion in a remote-first environment.

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 Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Research Staff Machine Learning Engineer will focus on scalable model training for speech technologies, design internal tools, and innovate data strategies.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

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