Design and ship production ML systems for generative AI, fine-tuning, and RAG. Build scalable data pipelines and partner with product engineers to deliver impactful AI features. Collaborate with infrastructure teams on training, inference, monitoring, and deployment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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.
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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)
- Experience with embedding-based systems for retrieval, ranking, or multimodal models
- Comfort mentoring others and raising the technical bar
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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
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