Macroscope

Macroscope

Senior Applied ML Engineer

San Francisco · Senior

Sponsorship not specifiedDetected 308 days ago
TypeScriptPythonGoRustSwiftReactDistributed SystemsPostgreSQLGCPTerraformMachine LearningTensorFlowPyTorchData ScienceLLMsRAGA/B Testing

About the role

  • You will have ownership and agency of our systems from end to end - from data collection and evaluation, to model experimentation, to productionizing our systems at scale.
  • This is a unique opportunity to have an immense amount of impact on how we evolve our product.
  • Our technology stack: Typescript/React (front-end), Golang (backend), Temporal, Google Cloud (GCP), Postgres, Terraform, custom-built AST "code walkers" in various languages (Golang, Typescript, Swift, Python, Rust)

Responsibilities

  • You act like an owner. You put immense care and craft into what you build because you take responsibility for all parts of the product. You don't walk past broken windows.
  • You care about what we're building.
  • This is a deeply cross-functional role where you'll own the ML/AI lifecycle of one of the most critical surface areas of our product: AI Code Review.
  • This is a deeply cross-functional role where you'll own the

Requirements

  • 8+ years of experience in applied ML, data science, or ML infrastructure roles.
  • Proven track record of designing, training, and deploying ML models in production at scale.
  • Deep intuition for model behavior and data representation - you know how to experiment, interpret results, and iterate effectively.
  • Hands-on experience with common ML/AI frameworks (e.g. PyTorch, TensorFlow) and working knowledge of LLMs and RAG systems.
  • You are extremely high agency.
  • Strong skills in data curation and evaluation - understanding what data to collect, how to clean and label it, and how to measure success.
  • Experience writing production-grade code and building robust pipelines connecting data → models → backend systems.
  • Experience architecting complex distributed systems and optimizing them for performance and reliability.
  • Comfortable in a fast-paced, high-agency startup environment, where priorities shift and you help define what to do next.

Nice to have

  • experience with GCP infrastructure, working with Temporal for workflow orchestration, or building internal ML platforms.
  • The base pay for the Senior Applied ML Engineer position ranges from $190/year to $300/year.
  • Pay is based on several factors and may vary depending on job-related knowledge, skills, and experience.
  • Experience in Golang (the primary language of our backend systems) is a strong plus, but is not required.

Compensation

  • The base pay for the Senior Applied ML Engineer position ranges from $190/year to $300/year.

Benefits

  • We're looking for a Senior Applied ML Engineer to design, build, and optimize the machine learning and AI systems that power Macroscope's core features.

Company info

  • Macroscope aims to be the source of truth of what's happening for any company that builds software.
  • Our mission is to give leaders clarity and engineers time.
  • We help leaders understand how their products and codebases are evolving-what's changing, who's working on what, and where progress is happening-grounded in the ultimate source of truth: the code.
  • Macroscope is founded by former entrepreneurs who have started and sold multiple companies, and operated as product/engineering executives at public tech companies.
  • We're fortunate to be supported by the best VC firms and angels in the business, including Lightspeed Venture Partners, Thrive Capital, Google Ventures, and Adverb.
  • AI Code Review.
  • Working alongside our co-founders, you will be responsible for making the decisions that will determine how we build and improve the product, everything from building high-quality datasets, running experiments, interpreting results, and making architectural decisions to improve model performance.
  • You will also play a lead role in designing and building the software that integrates the models with our backend application and product experience.
  • The only way to overcome the daunting odds of making a startup venture successful is for a densely packed group of insanely hard working and talented people to work together to building something useful to and loved by customers.
  • We are a small group of ambitious people who want to build something insanely great that we want to use, and that we think every company will want to use.
  • If our mission and product doesn't resonate with you, we understand and would encourage you to find something that does.
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This listing is sourced directly from Macroscope's careers page and normalized into a canonical job model.