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Temporary Meta Machine Learning Jobs (NOW HIRING)

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize ...

Meta

Software Engineer, Systems ML

Menlo Park, CA

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Research Engineer, Monetization AI

New York, NY

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer (Technical Leadership)

$271K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer, Systems ML

Sunnyvale, CA

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$184K/yr

... Meta Superintelligence Labs. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI ...

Meta

Software Engineer, Systems ML

Boston, MA · On-site +1

$154K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer, Systems ML

Menlo Park, CA · On-site +1

$154K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer, Systems ML

New York, NY · On-site +1

$154K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

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Temporary Meta Machine Learning information

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How much do temporary meta machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for temporary meta machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
More about Temporary Meta Machine Learning jobs
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What job categories do people searching Temporary Meta Machine Learning jobs look for? The top searched job categories for Temporary Meta Machine Learning jobs are:
Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, 6% Temporary, 2% Contract, and 2% Nights. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Shaped

Brooklyn, NY • On-site

$130K - $200K/yr

Full-time

Posted 29 days ago

Job description

Company Description
Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.
Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g. TikTok "For-You Page", FB "News feed" and YouTube "What to watch next") as the best place to start.
Shaped is a seed stage start-up backed by top investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York.
Job Description
We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and research, and applies them to impactful ranking problems. As one of Shaped's early employees you will help shape our product roadmaps and engineering culture.
We're excited to work with you. Come build the future of AI with us!
Qualifications
  • Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.
  • 6+ years of industry experience in a machine learning or data science role
  • Proficient with Python, SQL
  • Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Operate well within fast paced, small teams
  • Excellent written and verbal communication skills

Additional Information
  • Salary $130K - $200K
  • Equity 0.10% - 0.50%

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