Senior Machine Learning Engineer

Senior Software Engineer, Machine Learning

$170,000–$215,000 + bonus & benefits

Remote — U.S., UK, or Canada

About the Company

• We’re a remote-first product and engineering organization building AI-powered tools that fundamentally improve how people think together, explore ideas, and make decisions. Our focus is on augmenting human creativity and collaboration — not replacing it — by embedding intelligent systems directly into real workflows used by teams every day.
• We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by curiosity, ownership, and impact.

About the Role

• We’re hiring a Senior Machine Learning Engineer to build intelligent systems that power creative thinking, collaboration, and decision-making at scale.
• This role sits at the intersection of applied ML, product innovation, and scalable infrastructure. You’ll design and ship production ML systems — from retrieval-augmented generation to generative features — working closely with product, design, and engineering in a high-ownership environment.

What You’ll Do

• Design, build, and productionize ML models for generative AI, fine-tuning, and RAG
• Build scalable data pipelines for training, evaluation, and continuous improvement
• Develop annotation and human-in-the-loop workflows to improve model quality
• Partner with product engineers to deliver impactful, user-facing AI features
• Collaborate with infrastructure teams on training, inference, monitoring, and deployment
• Explore new ideas and help shape the long-term AI vision

What You Bring

• 5+ years of industry experience building and shipping deep learning systems
• Strong Python skills and experience with PyTorch or TensorFlow
• Familiarity with modern ML toolchains (hosted APIs, open-source frameworks, or custom stacks)

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Experience with embedding-based systems for retrieval, ranking, or multimodal models
• Comfort mentoring others and raising the technical bar

Nice to Have

• MLOps and ML infrastructure experience (observability, CI/CD, automation)
• Experience working on creative, design, or collaboration-focused ML products

Why Join

• Build AI that amplifies human creativity rather than replacing it
• Own production ML systems used by teams every day
• High autonomy and influence in a cross-functional environment
• Remote-first culture with strong engineering and product collaboration
• Competitive compensation and meaningful growth opportunities