Engineering Manager, Machine Learning; Remote - Namer

Engineering Manager, Machine Learning (Remote)

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.

• 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

• 6+ years of experience developing, training, and product ionizing 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

• 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