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Telecommute Meta Tech Jobs (NOW HIRING)

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Join us in creating technology that extends human thinking. RESPONSIBILITIES This role involves ... Telecommuting permitted. 3x/week in office required. REQUIREMENTS Requires a bachelor's degree in ...

New

Sandbar

MLE

New York, NY · On-site

$160K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... Join us in creating technology that extends human thinking. RESPONSIBILITIES : This role involves ...

New

Publicis Groupe Holdings B.V

Account Manager

Fallston, NC · On-site +1

... technologies, and media planning is highly desirable. * Knowledge of social platforms (TikTok, Meta ... Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program. * Attractive ...

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$56.5K

How much do telecommute meta tech jobs pay per year?

As of Aug 14, 2026, the average yearly pay for telecommute meta tech in the United States is $40,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $38,000.00 per year, depending on experience, location, and employer.

What is the difference between Telecommute Meta Tech vs Data Analyst?

AspectTelecommute Meta TechData Analyst
CredentialsBachelor's in Computer Science or related field, certifications like Meta Certified Digital Marketing AssociateBachelor's in Statistics, Data Science, or related field, certifications like Microsoft Certified Data Analyst
Work EnvironmentRemote, tech-focused, collaborative online platformsRemote or on-site, analytical and reporting tools used
Industry UsagePrimarily in tech, social media, digital marketingAcross finance, healthcare, marketing, and tech industries

While both roles can be performed remotely and require analytical skills, Telecommute Meta Tech focuses on digital marketing, social media, and tech platform management, whereas Data Analysts concentrate on interpreting data to inform business decisions across various industries.

More about Telecommute Meta Tech jobs

What are the most commonly searched types of Meta Tech jobs?

The most popular types of Meta Tech jobs are:

What job categories do people searching Telecommute Meta Tech jobs look for?

The top searched job categories for Telecommute Meta Tech jobs are:

Telecommute Meta Tech jobs near you
Infographic showing various Telecommute Meta Tech job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 12% Part Time, 12% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $40,199 per year, or $19.3 per hour.

Machine Learning Engineer

Sandbar

Manhattan, NY • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

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.

RESPONSIBILITIES

This role involves developing software and machine learning algorithms for use in human computer interface products. This includes designing system architectures involving large language models for conversational, information retrieval, and digital automation tasks. This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems for latency, reliability, and cost. Telecommuting permitted. 3x/week in office required.

REQUIREMENTS

Requires a bachelor’s degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building & deploying ML-based applications, including data curation and model training; 2 years of experience researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models; 2 years of experience in quantitative analysis based on data science; 2 years of experience in Python programming language; 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products; 1 year of experience with AWS or GCP; 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker; 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products; and prior experience in at least 1 startup-stage company (founding engineer to Series A company). Must be able to successfully complete competency-based interviews

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