Engineering Manager, Machine Learning

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engineering Manager, Machine Learning in United States.

This role is a rare opportunity to lead the machine learning strategy for a next-generation, AI-powered product used daily in real-world workflows. As a founding ML Engineering Manager, you will define how advanced models are applied to deliver highly contextual, personalized, and privacy-aware user experiences. You will operate in a fast-moving, product-driven environment where experimentation, iteration, and measurable impact are core to success. Working closely with design, product, and infrastructure partners, you will balance innovation with reliability at scale. This is a hands-on leadership role combining deep technical ownership with people leadership. The environment is remote-first, collaborative, and built for engineers who want to shape both technology and culture.

• Define and own the machine learning strategy, sequencing high-impact initiatives that improve user outcomes and long-term product capabilities.
• Prototype, architect, and ship LLM-powered features that learn over time and personalize user experiences in production environments.
• Lead the design and evolution of the ML stack and infrastructure, spanning on-device inference and server-side systems.
• Establish strong ML developer workflows, including data pipelines, experimentation loops, evaluation frameworks, and continuous training.
• Partner with security and infrastructure teams to ensure responsible data usage, privacy preservation, and secure deployment practices.
• Build, mentor, and support a high-performing team of machine learning engineers, fostering a culture of learning, ownership, and psychological safety.
• Contribute to broader engineering initiatives such as recruiting, onboarding, process improvement, and architectural decision-making.

• 6+ years of experience training, optimizing, and productionizing modern machine learning models in real-world products.
• 3+ years of experience leading or mentoring senior engineers while driving complex, high-impact technical initiatives.
• Strong hands-on experience with Python and modern ML tooling, including fine-tuning open-source LLMs beyond basic approaches.
• Deep understanding of contemporary AI techniques and a passion for staying current with advances in the field.
• Experience working with large-scale systems, experimentation frameworks, and model evaluation methodologies.
• Product-oriented mindset with the ability to navigate ambiguous problems and move quickly in startup-style environments.
• Availability to work with at least four hours of overlap with Eastern Time Zone.
• Eligibility to work remotely from Canada.

• Competitive annual base salary range of 300,000 to 360,000 USD, depending on experience and performance.
• Equity participation as part of a total compensation package.
• Comprehensive healthcare and wellness benefits for you and your family.
• Fully remote work with flexibility and autonomy.
• Opportunity to work on cutting-edge AI systems with real-world impact.
• Supportive, inclusive, and talent-dense engineering culture.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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