Senior Software Engineer, Machine Learning

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/ $170000 - $215000 annum

INFO

Salary
SALARY:

$170000 - $215000

Location

LOCATION

Job Type
JOB TYPE

Permanent

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)
  • 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

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