Talent.com
VP of Machine Learning and Data Science

VP of Machine Learning and Data Science

JobotUS
job_description.job_card.1_day_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
job_description.job_card.job_description

Competitive compensation and benefits. Remote work. Flexible PTO.

This Jobot Job is hosted by : Brooke Meyer

Are you a fit? Easy Apply now by clicking the "Apply" button

and sending us your resume.

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

    • Interested in hearing more? Easy Apply now by clicking the "Apply" button.

    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, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    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.

    serp_jobs.job_alerts.create_a_job

    Machine Learning And • US