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Ctrl Labs Jobs (NOW HIRING)

ML Engineer, Audio

New York, NY · On-site

$180K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Senior AI/ML Engineer

New York, NY · On-site

$180K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

AI/ML Engineer, Lead

New York, NY · On-site

$210K - $290K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Staff Product Engineer, iOS

New York, NY · On-site

$180K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Head of Engineering

New York, NY · On-site

$230K - $300K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Lead Product Designer

New York, NY · On-site

$165K - $230K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Senior Firmware Engineer

New York, NY · On-site

$130K - $180K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Creative Lead, Content

New York, NY · On-site

$120K - $150K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Product Engineer

New York, NY · On-site

$140K - $190K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Lab Technician

New York, NY · On-site

$90K - $130K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox. Our first product, Stream, is a self extension-a private voice ring and conversational ...

Ctrl Labs information

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How much do ctrl labs jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for ctrl labs in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a neural interface engineer at a company like CTRL Labs, and why are they important?

To thrive as a neural interface engineer, you generally need a strong background in neuroscience, electrical engineering, or computer science, often supported by an advanced degree. Proficiency with programming languages (such as Python or C++), signal processing tools, and experience with neural signal acquisition systems is expected. Innovative problem-solving, collaboration, and clear communication are vital soft skills in multidisciplinary environments. These skills enable successful development of neural interface technologies that require both technical expertise and teamwork.

What is the difference between Ctrl Labs vs Data Scientist?

AspectCtrl LabsData Scientist
Required CredentialsBackground in neuroscience, engineering, or computer science; familiarity with machine learningDegree in statistics, computer science, or related field; strong programming skills
Work EnvironmentResearch labs, tech companies, startups focusing on neural interfacesCorporate, research institutions, or consulting firms analyzing data sets
Industry UsageNeurotechnology, hardware development, AI researchData analysis, predictive modeling, business intelligence across industries

Ctrl Labs specialists focus on developing neural interface technology and hardware, often working in research and engineering environments. Data Scientists analyze data to extract insights and build models across various sectors. While both roles require technical skills, Ctrl Labs roles are more hardware and neuroscience-oriented, whereas Data Scientists focus on data analysis and modeling.

What are the main challenges faced by engineers working at Ctrl Labs, and how can new hires prepare to overcome them?

Engineers at Ctrl Labs often work on cutting-edge neural interface technology, which presents unique challenges such as integrating hardware and software, processing complex biological signals, and adapting to rapidly evolving project goals. New hires can prepare by developing strong collaboration skills, staying adaptable to shifting priorities, and keeping up-to-date with advancements in neuroscience and machine learning. Working closely with multidisciplinary teams—including scientists, designers, and product managers—is essential for success in this dynamic environment.

What is Ctrl Labs and what do they do?

Ctrl Labs is a technology company specializing in neural interface technology, which enables people to control computers and digital devices directly with their nervous system. They are best known for their development of a wristband that detects electrical signals from muscles, allowing users to control computers without traditional input devices like a mouse or keyboard. Ctrl Labs was acquired by Meta (formerly Facebook) in 2019 and now contributes to research and development in neural interfaces and augmented reality. Their work is at the forefront of human-computer interaction, aiming to make technology more intuitive and accessible.
More about Ctrl Labs jobs
Infographic showing various Ctrl Labs job openings in the United States as of July 2026, with employment types broken down into 17% Locum Tenens, 3% Internship, 66% As Needed, 8% Full Time, 1% Part Time, and 5% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
ML Engineer, Audio

ML Engineer, Audio

Sandbar

New York, NY • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

About Sandbar
Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.
Our first product, Stream, is a self extension-a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
Join us in creating technology that extends human thinking.
About
We're looking for a machine learning engineer to help build Stream, a new conversational computer. As a machine learning engineer, you will develop a system which spans voice, memory, and agentic control. This role is perfect for someone cares deeply about real-world ML deployment and human-in-the-loop agentic interactions.
Responsibilities
  • Develop, evaluate, and deploy audio models spanning cloud models to resource-constrained on-device settings
  • Optimize inference pipelines for latency, reliability, and concurrency
  • Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

Qualifications
  • 4+ years in machine learning experience
  • Experience shipping ML-based products is required
  • Experience developing audio / voice models is required
  • Passion for human-computer interaction

FTE Benefits
  • Health, vision, and dental benefits
  • Company-sponsored 401(k)
  • Unlimited PTO and sick time
  • Early stage equity