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VP of Machine Learning and Data Science

Company:
Jobot
Location:
Reston, VA
Pay:
120.19 - 171.27 per hour
Posted:
October 25, 2025
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Description:

Competitive compensation and benefits. Hybrid work. Flexible PTO.

This Jobot Job is hosted by: Brooke Meyer

Salary: $250,000 - $356,250 per year

A bit about us:

We are an AI and Data Company that is helping marketers increase customers and value by providing powerful data insights. If you have a passion for data science, AI and machine learning- this could be a great match for you!

Why join us?

Stable, high-growth company in a resilient industry

Competitive compensation

Equity programs, 401(k), Open PTO + 10 paid holidays

Gym memberships, fun culture, hackathons, exec access, and more

Cutting-edge tech and high-impact projects

A place where your ideas and leadership will shape the future of AI

Job Details

About the Role

We are seeking a visionary and hands-on technology leader to serve as our next VP of Machine Learning and Data Science. In this pivotal role, you’ll own and drive the end-to-end AI/ML lifecycle, from research and algorithmic innovation to scalable, real-time production deployment.

You’ll lead and unify our Data Science (DS) and Machine Learning Engineering (MLE) teams, shaping the strategic vision and execution of our AI/ML initiatives that directly impact product innovation, customer value, and business growth.

This is a unique opportunity to build enterprise-grade ML systems using modern technologies like foundation models, GenAI, and MLOps, while operating in a fast-paced, stable, and mission-driven environment.

What You’ll Do

Strategic Leadership

Define and drive the long-term vision for AI and machine learning, aligned with product and business goals

Own the entire ML lifecycle: from model ideation to development, deployment, monitoring, and continuous optimization

Lead R&D strategy focused on methodologies, agentic systems, and emerging technologies

Team & Culture

Lead, mentor, and scale a high-performing, integrated DS and MLE team

Foster a highly collaborative and accountable culture, balancing speed, quality, and innovation

Operate as a player-coach: capable of both strategic direction and deep technical contribution

Technical Execution

Architect and evolve our MLOps infrastructure to support scalable and automated model deployment

Provide hands-on leadership in building advanced ML models using deep learning, embeddings, neural networks, and GNNs

Leverage your expertise in AWS Bedrock, SageMaker, TensorFlow, PyTorch, and related tools

Stay ahead of AI/ML trends and champion the adoption of new technologies and practices

Evangelism & Influence

Be the face of AI, partnering with the CTO and executive team to communicate vision and outcomes

Represent the company at industry events, conferences, and client meetings

Distill and communicate complex technical concepts to non-technical stakeholders

What We’re Looking For

Leadership & Communication

Proven experience managing both research and production ML teams

Ability to set strategic direction and guide senior technical staff

Exceptional presentation and communication skills; comfortable engaging with execs, clients, and press

️ Technical Expertise

Deep knowledge of modern ML techniques: gradient boosting, Bayesian modeling, causal inference, deep learning, embeddings, GNNs

Strong software engineering and MLOps fundamentals, including CI/CD for ML, model registries, feature stores, and monitoring

Proficient in Python, TensorFlow, PyTorch, scikit-learn, and cloud-based AI/ML services (especially AWS Bedrock & SageMaker)

Experience in agentic workflows is a plus

Industry & Domain Insight

Experience with large-scale ML systems in consumer data, ad-tech, or mar-tech industries

Domain experience in health, finance, consumer goods, or political/advocacy tech is a bonus

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Full-Time

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