Top Machine Learning Jobs in Philadelphia, PA

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

Lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable AI/ML solutions. Engage with cross-disciplinary teams to enhance Nike's supply chain through innovative engineering practices. Advocate for best engineering practices and technology adoption, coaching engineers to elevate their skills and careers.

Enveritas is seeking an Impact Manager to develop and manage impact projects in the agricultural sector. The candidate should have 5-10 years of professional experience, including time in a leading strategy/business consulting firm. Responsibilities include project identification, impact evaluation, program design, partnership negotiation, and team management.

The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.

The SVP of Product will lead Product Management and Marketing efforts at Digital.ai, focusing on innovation in software delivery solutions, particularly in DevSecOps. Responsibilities include defining strategies, collaborating across departments, and managing a global team to enhance product offerings and customer engagement.

The Senior Product Manager will oversee the entire product lifecycle for the Fusion Product, ensuring product plans are executed seamlessly. Responsibilities include defining roadmaps, coordinating cross-team efforts, conducting competitive research, tracking product success metrics, and advocating for client interests throughout the product development process.

The AI/ML Product Analyst will collaborate with the Product Owner from ideation to launch, analyze business needs, and gather data to support business cases. Responsibilities include developing specifications, engaging in testing, and ensuring project deliverables meet requirements, particularly focusing on AI/ML products in a public health context.

The Product Management Leadership role involves guiding the product strategy and execution for Prism, overseeing the product lifecycle, making data-driven decisions, and ensuring alignment with market trends and client needs. Responsibilities include managing the product roadmap, conducting market research, analyzing performance metrics, and communicating progress to senior management.

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.

The Product Manager at ClickTime will support the product roadmap, gather insights from customers and market research, deliver product specifications and user stories, coordinate teams during development sprints, and analyze product metrics. The role requires experience in product management with a focus on customer needs and industry trends.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Software Engineer on the AI Decisioning team, you will design and build scalable backend systems and ML infrastructure, develop AI-driven features for decision automation, and collaborate with machine learning engineers to implement innovative techniques.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

The Staff Software Engineer will enhance Fetch's product catalog by designing and optimizing key components, developing data ingestion solutions, integrating machine learning techniques, and mentoring team members, all while collaborating across teams to drive critical initiatives.

As an AI Controls Solutions Engineer, you will operationalize and scale Phaidra's AI solutions, working closely with customers to define AI problems, create facility models, and rapidly deploy solutions. You will collaborate with technical account managers and data scientists, leveraging Phaidra's platform to deliver actionable insights from sensor data.