Engineering Manager, Machine Learning (Remote - Namer)

Jobgether; United States; Remote; USD 300,000 - 360,000; Full time

Benefits offered by this job

Competitive total compensation

Remote-first work environment

Comprehensive perks supporting personal and family engagement

Opportunity to lead innovative product development

Access to cutting-edge AI technologies

Job summary

A leading tech company is seeking an Engineering Manager for Machine Learning to shape ML strategy and lead a high-performing team. This remote-first role involves guiding implementation of LLM-powered features, overseeing infrastructure, and collaborating with cross-functional teams. Ideal candidates will have extensive experience in ML model development and team management. Competitive compensation includes a salary range of $300,000-$360,000 USD.

Qualifications

• 6+ years of experience in machine learning model development.
• 3+ years of experience in managing senior engineers.
• Hands-on experience with Python and LLM fine-tuning.

Responsibilities

• Define and execute the machine learning strategy.
• Lead and mentor a team of machine learning engineers.
• Oversee ML infrastructure for scalability and performance.

Skills

Machine Learning Development

Team Leadership

Python

Model Evaluation

Remote Collaboration

Scalable Infrastructure

Job description

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.

Accountabilities

• 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

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

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