Top Remote Machine Learning Jobs in Washington, DC

Lead cross-functional Fund Finance projects, manage timelines, communicate with senior leadership, mitigate risks, and mentor junior team members.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

As a Research Scientist, develop algorithms for AI evaluation and conduct research on language models, leading projects and collaborating with teams.

The role involves provisioning and testing Ciena's solutions, developing documentation, leading technical sessions, and customer engagement to ensure product readiness and enhancements.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

As a Machine Learning Engineer, you will focus on user-behavioral modeling, collaborate with teams, and engage in data processing and model deployment.

As a Software Engineer at Yobi, you will enhance build systems, deployments, and ML integrations while working within product teams.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The Director will lead AI-driven automation within Finance Technology, overseeing a global AI/ML Center of Excellence, developing strategies and solutions for finance processes, and driving digital transformation effort.

The Enterprise Account Executive will manage the sales cycle, acquire new customers, and expand existing accounts within Fortune 1000 companies, focusing on finance teams.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.