Top Machine Learning Jobs in Philadelphia, PA

The Capture Development Lead is responsible for pursuing new business opportunities within federal government sectors, particularly DOD and FedCiv agencies. This role involves relationship building, market analysis, and strategic planning to win contracts. The position emphasizes technical knowledge and competitive engagement to drive the organization's growth.

As a Capture Development Associate, you will identify and pursue new business opportunities in the federal government sector. Responsibilities include building relationships with stakeholders, market analysis, and executing strategic capture plans. The role requires a blend of strategic thinking and technical knowledge.

As a User Success Manager at HumanSignal, you will guide users on their journey with Label Studio, partner with the Sales Team to leverage user insights for revenue growth, and develop skills for advancing in Sales or Customer Success roles. This fast-paced role requires both proactive outreach and reactive support, with a focus on user satisfaction and effective messaging.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Senior Machine Learning Platform Engineer will architect and build efficient machine learning systems, collaborate with data scientists, ensure operational excellence, develop model management tools, and mentor team members to foster continuous improvement.

As a Distinguished Engineer at iSpot.tv, you will provide technical leadership, drive architecture and design for data measurement platforms, and mentor engineers. You will focus on large-scale data processing, cloud-native solutions, and real-time analytics while collaborating with various teams to tackle complex challenges and enhance scalability.

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.

The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.

As a Senior Lead Software Engineer, you will focus on image pre-processing and machine learning for OCR, create and improve image classification models, develop machine learning models using Vertex AI, optimize algorithms, and mentor teams in ML and software engineering best practices.

As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection efficacy, manage false positives, and collaborate with internal teams. Strong knowledge of malware functionality and programming skills, particularly in Python, are essential for this role.

As a Sr. Machine Learning Engineer at CrowdStrike, you will build scalable ecosystems, innovate with machine learning technology, create backend microservices, and collaborate with teams. You will also develop and maintain data pipelines, mentor other engineers, and ensure high coding quality while addressing customer challenges.

The Senior Machine Learning Engineer at Workiva will design and implement machine learning solutions, focusing on MLOps and software engineering best practices. Responsibilities include developing tools for ML infrastructure, mentoring team members, and delivering high-quality ML features. The role involves debugging, collaborating across teams, and maintaining a robust machine learning environment while ensuring service availability.

The Fraud Engineer at Kalshi will design and build systems for fraud detection and remediation while interfacing with finance, security, and product teams. Responsibilities include staying updated on fraud detection techniques and shipping high-quality, efficient systems.

The Enterprise Account Executive will prospect and close new business across North America, nurture client relationships, manage sales forecasts, and articulate the value of Comet's products. They will work closely with technical teams and help customers during the trial phase, emphasizing the importance of a strong relationship with the Customer Success team.

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

The Machine Learning Engineer I develops and implements machine learning models, focusing on transforming prototypes into scalable solutions. Responsibilities include model deployment, data preparation, optimization, collaboration with product teams, and ensuring model performance in production environments.