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Neuralink

Machine Learning Engineer

Neuralink · Austin, Texas, United States; South San Francisco, California, United States

Posted about 2 months ago

or apply directly on Neuralink's site. We never take the application ourselves.

Is this posting real?

This role has been open
54 days
Neuralink's roles stay open a median of 55 days
Reposted
No
Salary listed
No
3% of Neuralink's roles list one
Ghost-job risk at Neuralink
high
70 stale, 5 reposted of 80 open
Hiring momentum
96 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from Neuralink's own greenhouse board since 2026-08-03. Full hiring picture for Neuralink.

About this role

As a Machine Learning Engineer at Neuralink, you will work on developing and training machine learning models that decode neural data to enable advanced brain-computer interfaces. Your responsibilities will include designing online adaptation systems, compressing decoders for real-time use, and building infrastructure for model evaluation and updates, all while ensuring optimal performance for users. This role requires a hands-on approach to problem-solving and a commitment to improving human capabilities through technology.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Neuralink as an employer.

What you need

  • Designed, trained, and shipped real-time ML systems
  • Strong sequence modeling instincts in areas like speech, robotics, or reinforcement learning
  • Ownership of problems end to end, including data, model, deployment, and evaluation
  • Bachelor’s degree in Computer Science or related field, or equivalent experience

Nice to have

  • Familiarity with intracortical brain-computer interface decoding literature
  • Experience with model compression, quantization, or inference on constrained hardware
  • Experience in small-data or heavy-distribution-shift regimes

What you get

  • Opportunity to change the world and work with talented experts
  • Growth potential with rapid advancement for impactful team members
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided

Worth weighing

  • On-site work required five days a week
  • Intense work pace with no fixed 9-to-5 hours
  • Small teams with high ownership may not suit everyone

Summarised from Neuralink's posting. Read the full original.

Listed by Neuralink on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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