Top Machine Learning Jobs in Baltimore, MD

The Director of Research will lead DataLab at Protege, defining the research agenda and managing a high-performing team focused on AI data challenges and methodologies.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

As a Target Digital Network Analyst, you will analyze collection data for insights, maintain databases, identify intelligence gaps, and collaborate with various teams on intelligence missions.

The Principle Solutions Architect will lead the solutioning process for business development, manage proposal efforts, and mentor team members, focusing on federal government contracts.

Lead capture solution architect responsible for conceptualizing, developing, and communicating technical solutions for large federal proposals. Guide cross-functional teams through capture and proposal processes, define system architectures, mentor staff, and produce technical/management proposal volumes to win high-value contracts.

Lead capture solutioning for large federal pursuits by architecting technical solutions, guiding capture and proposal teams, defining system designs and interfaces, and contributing to proposal volumes. Works with clients to assess requirements and translate solutions across cloud, data, cyber, AI/ML, RPA, and software development approaches.

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

The Senior Cloud Architect will provide technical expertise to sustain critical mission-related software and systems for a U.S. Government customer, focusing on cloud-based hybrid computing design and architecture.

The Principal Software Engineer will lead software development teams, recommend technologies, and extract insights from data, requiring active TS/SCI clearance and extensive experience.

The Senior Product Manager will define product strategy, manage SaaS product enhancements, drive innovation in data governance, and collaborate across teams to deliver customer-centric solutions.

The Senior Learning Consultant will analyze client needs, translate workflows into training documentation, facilitate workshops, and ensure effective training design for system implementation.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Director of Customer Engineering will lead a team to drive the adoption of Elastic's solutions in observability, cybersecurity, and search AI while ensuring customer satisfaction and team collaboration.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

The Senior Principal Product Manager will lead Rockerbox's measurement and modeling products, ensuring accurate methodologies and partnering with Data Science and Engineering to drive product strategy and execution.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

Lead the design and deployment of RL post-training systems, aligning model behavior with user value and business objectives, while mentoring applied scientists and engineers.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

As a Staff Software Engineer, you'll lead the development of AI-driven automations, improving data integration and platform capabilities for cybersecurity teams with over 8 years of experience in complex backend applications and distributed systems.

As a GTM Engineering Intern, you will automate workflows, design demos, and develop AI-powered tools for market outreach while collaborating with sales and engineering teams.

As a Senior Machine Learning Engineer, you will develop computer vision models for vehicle damage detection, managing the entire ML lifecycle from dataset creation to deployment in production environments.