About The Position

This role provides an exciting opportunity to lead the development and scaling of machine learning capabilities in a cutting-edge product environment. You will define the ML strategy, build a high-performing engineering team, and guide the implementation of LLM-powered features that enhance user experience. The position combines technical leadership, hands-on ML engineering, and strategic decision-making, allowing you to influence architecture, infrastructure, and product outcomes. You will work in a remote-first, fast-paced environment, collaborating closely with product, design, and engineering teams to deliver measurable improvements in AI-driven features. This role is ideal for someone passionate about applying the latest AI advancements to real-world applications while mentoring engineers and shaping organizational practices.

Requirements

  • 6+ years of experience developing, training, and productionizing machine learning models, including real-world applications.
  • 3+ years of experience managing and mentoring senior engineers, with a track record of leading complex technical projects.
  • Hands-on expertise with Python and experience fine-tuning open-source LLMs beyond basic LoRA techniques.
  • Familiarity with modern ML training approaches, such as supervised fine-tuning, reinforcement learning, and model evaluation pipelines.
  • Strong product and engineering mindset, capable of translating ambiguous problems into actionable solutions.
  • Experience building scalable ML infrastructure, including data pipelines, experimentation systems, and telemetry frameworks.
  • Excellent communication skills and ability to collaborate in a remote, distributed team environment.
  • Availability for at least 4+ hours overlap with North American Eastern Time Zone.

Responsibilities

  • Define and execute the machine learning strategy to enhance product capabilities and user outcomes.
  • Lead, mentor, and grow a team of machine learning engineers, fostering technical and product-minded development.
  • Prototype, architect, and deploy LLM-powered features while establishing evaluation and fine-tuning workflows.
  • Oversee ML infrastructure spanning on-device and server-side models, ensuring scalability, performance, and maintainability.
  • Partner with security and infrastructure teams to ensure responsible data handling, privacy, and compliance.
  • Build ML developer tooling and processes to enable high-quality experimentation, deployment, and continuous improvement.
  • Collaborate cross-functionally with design, product, and engineering teams to translate technical advancements into measurable impact.
  • Contribute to engineering-wide practices, recruiting, onboarding, and processes that strengthen team culture and performance.

Benefits

  • Competitive total compensation including base salary ($300,000–$360,000 USD), equity, and benefits.
  • Remote-first work environment with optional office presence in New York, USA.
  • Comprehensive perks and benefits supporting personal, family, and community engagement.
  • Opportunity to lead ML strategy in a high-impact, innovative product environment.
  • Work with a talented, diverse, and mission-driven team in a fast-growing startup.
  • Access to cutting-edge AI technologies and the chance to shape the future of browser-based ML experiences.
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