# Applied ML Engineer at Macroscope

- Company: Macroscope
- What the company does: Merge PRs faster and fix bugs before they reach production. Macroscope provides AI-powered code review, automated PR descriptions, and real-time status updates for modern development teams. Backed by Lightspeed.
- Company website: https://macroscope.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $170K to $280K base salary per year (USD)
- Posted: 2026-08-04
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/macroscope/84263740-46f4-4c85-9394-6c0a9ebbf0a9
- Page: https://www.1752.vc/careers/jobs/macroscope-applied-ml-engineer/

## About the role

We're looking for an Applied ML Engineer to improve the models and ML systems behind Macroscope's core AI capabilities. You'll work closely with our founders and engineering team to build evaluation datasets, run experiments, train and fine-tune models, and determine what meaningfully improves model performance.

## What they're looking for

- 3+ years of experience in applied machine learning, AI, or related engineering roles
- Experience building, training, fine-tuning, or evaluating modern ML models in production or research environments
- Experience with reinforcement learning for LLMs, including RLHF, RLAIF, GRPO, PPO, DPO, or similar techniques
- Strong experience with dataset creation, curation, benchmarks, labeling strategies, and evaluation methodologies
- Experience designing rigorous experiments and using results to improve model performance
- Familiarity with LLMs, reasoning models, and the evolving open-source model ecosystem

Tags: Engineering