Senior Machine Learning Engineer

About the Role

Join the AI team at Clay as a Senior Machine Learning Engineer. You will be responsible for leading the development of ML-powered features and building the underlying models that drive our innovative product. This role offers a unique opportunity to shape the future of ML applications within the GTM industry.

Responsibilities

Identify ML Opportunities: Work closely with the design team to identify where machine learning can enhance our product and bring these visions to life.
Model Development: Prototype and productionize models that power ML experiences, ensuring they are robust and scalable.
Collaboration: Collaborate with the Product Engineering team to integrate models into the product. If interested, you can also engage in full-stack engineering to alter the product experience.
Knowledge Sharing: Share your expertise in ML use cases to enable other teams to build ML-powered features using the models you’ve deployed.
Data Pipelines: Develop and maintain data pipelines that feed into your ML systems.

Requirements

Experience: 4+ years of experience in machine learning, with a strong bias towards shipping and learning while maintaining a high-quality bar.
Product Intuition: Ability to think broadly and cross-functionally about innovative ML product experiences.
Technical Skills: Experience in NLP and information retrieval, building and deploying models in user-facing production settings.
Research and Execution: Ability to scope and timebox research problems and execute findings via concrete product plans.
Technical Breadth: Experience with classical statistical ML models, deep neural networks, and optionally, LLMs.

Nice to Haves

Extensive experience with Python or Typescript.

Potential Projects

Enrichment Recommendation System: Develop systems to find the most successful path for data enrichment.
Search and Re-ranking: Improve semantic search and re-ranking of results.
Scoring Systems: Develop lead scoring and data confidence systems.

Life at Clay

Location: Based in a central office on 19th Street in Manhattan's Flatiron District, with the flexibility to work from home when needed.
Culture: Enjoy a vibrant in-person collaboration environment.
Growth: Competitive salary and role trajectory, with roles and responsibilities growing as the company does.
Benefits: Fully funded health, dental, and vision coverage, visa sponsorship, flexible vacation policy, free lunch, and parental leave & fertility support.

Join us at Clay and be part of a team that is transforming the way businesses grow through innovative machine learning solutions.

Benefits
Extracted with AI

Medical insurance
Health insurance
Dental & vision coverage
Visa sponsorship
Paid time off
Free lunch
Parental leave & fertility support

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