Top Machine Learning Jobs in Baltimore, MD

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

The Pre-Sales Solutions Engineer will act as a technical advisor, helping customers understand AI solutions for insurance workflows, support sales processes, and ensure customer satisfaction with product demos and integrations.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

The Research Scientist will develop innovative neural architectures, work with engineers on product alignment, and stay updated on academic research.

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The role involves transforming ideas into AI prototypes, collaborating with teams, and managing the entire development process from concept to delivery.

The Technical Program Manager will support Distributed Energy Resource (DER) partners in integrating with EnergyHub, managing launches, tracking project progress, and ensuring post-launch support, all while optimizing processes for scalability.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The Sales Development Representative is responsible for generating, qualifying, and nurturing leads, supporting the sales team, and developing outbound prospecting strategies to expand Mutt Data's presence in the U.S. market.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Data Scientist will apply data science and machine learning to support missions, develop software solutions, and enhance data insights.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Develop and implement secure AI/ML solutions, conduct risk assessments, automate data analysis, and manage compliance for AI/ML systems.

Lead the development of ranking and personalization strategies for Yahoo News and Homepage, leveraging machine learning to enhance user engagement and drive monetization metrics, while managing cross-functional teams and stakeholders.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.