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Machine Learning Engineering Intern

San Francisco,...
M

Morph

Startup
Category
Technical
Experience
4-7 years
Type
Internship
Location
San Francisco, CA, US
Salary
$6,000 - $10,000
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$6,000$10,000
Equity % (auto from trade-off model)
0.51%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
0.51%
$892,500
$125,000
0.51%
$892,500
$150,000
0.51%
$892,500
$175,000
0.51%
$892,500

Advanced Salary & Equity Calculator

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About the role

Morph builds the fastest LLM code editing inference engine in the world — we hit 10,500 tok/sec PER REQUEST, all on Nvidia hardware. Our stack powers high-throughput AI workflows for vibe coding apps, devtools, PR bots, and IDEs. We're hiring a founding engineer to push the limits of performance, safety, and scalability across our inference, retrieval, and diffing pipelines.

What You’ll Do

  1. Have used ML frameworks like Pytorch, Tensorflow, or JAX in projects or at work
  2. Work across low-latency inference, containerized deployment, and CI/CD tooling
  3. Work with CUDA, kernels, and bleeding edge inference optimization research.
  4. Implement the latest ML research into production quality systems

You’re a Fit If You

  1. Strong understanding of Pytorch/TF/JAX
  2. Know your way around real infra: Docker, Kubernetes, Linux, observability
  3. Have experience with LLM apps, devtools, compilers, building games, or code intelligence
  4. Prior experience with low level inference optimizations (ex. kernels)
  5. Prefer ownership and agency > bureaucracy

Why Morph

  1. zero fluff - work directly with the founder. Everyone on the team is an ML engineer
  2. We will never make you do story points
  3. Work on the fastest model and inference engine in the world - 4x the speed of the fastest model on cerebras

About the interview

ML algorithms