ZipRecruiter

Log In

2

Full Time Meta Machine Learning Jobs (NOW HIRING)

TransRe

Machine Learning Engineer

New York, NY · Hybrid

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization ... Ensemble Stacking and Meta Learners Work Schedule TransRe is supportive of an agile work schedule ...

New

TransRe

Machine Learning Engineer

New York, NY · On-site

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization ... Ensemble Stacking and Meta Learners Work Schedule TransRe is supportive of an agile work schedule ...

New

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and ... The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ... Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production--you'll take ML ...

New

next page

Showing results 1-20

All JobsMeta Machine Learning JobsFull Time Meta Machine Learning Jobs

Full Time Meta Machine Learning information

See salary details

$14

$21

$25

How much do full time meta machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full time meta machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

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

AspectFull Time Meta Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML modelsVaried industries, research or business focus, data analysis
Industry UsagePrimarily in tech giants like Meta, Google, focus on AI/ML productsAcross industries including tech, finance, healthcare, often in analytics roles

Full Time Meta Machine Learning roles focus on developing and deploying machine learning models within Meta's ecosystem, requiring specialized ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles involve data and algorithms, Meta Machine Learning positions are more specialized in AI/ML model development, whereas Data Scientists focus on data analysis and interpretation across various industries.

More about Full Time Meta Machine Learning jobs
What cities are hiring for Full Time Meta Machine Learning jobs? Cities with the most Full Time Meta Machine Learning job openings:
What are the most commonly searched types of Meta Machine Learning jobs? The most popular types of Meta Machine Learning jobs are:
What job categories do people searching Full Time Meta Machine Learning jobs look for? The top searched job categories for Full Time Meta Machine Learning jobs are:
Full Time Meta Machine Learning jobs near you
Infographic showing various Full Time Meta Machine Learning job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

TransRe

New York, NY • Hybrid

$145K - $170K/yr

Full-time

PTO

Posted 5 days ago

New

Job description

About Us

Since 1977 we have delivered first class solutions to insurers worldwide, by combining global reach with local decision making. We have built customer & broker relationships on years of trust, experience and execution. Through our people, our products and our partnerships, we deliver the capacity and expertise necessary to contribute to the sustainable growth of prosperous communities worldwide. To do so, our colleagues work with:

IntegrityWork honestly, to enhance TransRe's reputation

RespectValue all colleagues. Collaborate actively.

PerformanceWe reward excellence. Be accountable, manage risk and deliver TransRe's strengths

EntrepreneurshipSeize opportunities. Innovate for and with customers.

Customer FocusAnticipate their priorities. Exceed their expectations.

We have the following job opportunity in our New York City office:

Description

This role will be part of our TransRe Artificial Intelligent Team (TRAIT) and will be responsible for providing key Machine Learning deliverables to our global user base. Responsibilities include, but are not limited to:

  • Constructing machine learning models including data collection, normalization, and standardization, data pipeline construction, model selection and hyperparameter tuning, working ml systems that can add new data into ml model
  • Working on and researching the most recent LLM and GenAI models, safety, interpretability, and applications
  • Creating apps to present ml models and host them in the cloud or locally
  • Creating pipelines to query and retrieve and update data for existing applications to keep them updated
  • Supervising the scaling and management of the machine learning modeling ecosystem
  • Finding orthogonal data sets to supplement models and increase alpha
  • Staying abreast of new technology and machine learning methodologies and implementing them into the model building architecture
  • Working alongside (re)insurance domain experts to improve predictive aspects of their lines of business

Requirements

As an ideal candidate, you will possess the following skills and knowledge:

  • Proven track record of building, scaling and productizing multiple machine learning models
  • Strong experience in the full life-cycle of machine learning models from initial theorizing to final implementation & support
  • High proficiency with working with LLMs- fine-tuning, RLHF, distillation, optimization
  • Experience working with sparse, high dimensional, tabular, and time series data
  • Python ml stack
  • PyTorch, TensorFlow, CUDA
  • Boosting and bagging algorithms
  • ML Optimization Techniques
  • Ensemble Stacking and Meta Learners

Work Schedule

TransRe is supportive of an agile work schedule, which may differ based on individual roles, your local office's practices and preferences, marketplace trends, and TransRe's business objectives. This position is eligible for a hybrid work schedule with 3 days in the office per week, and 2 days remote.

Compensation

In addition to base salary, for this position, TransRe offers a comprehensive benefits package, paid time off, and incentive pay opportunity. The anticipated annual base salary range in New York for this position, exclusive of benefits, paid time off, and incentive pay opportunity is $145,000 - $170,000. This range is an estimate and the actual base salary offered for this position will be determined based on certain factors, including the applicant's specific skill set and level of experience.

We are an Equal Opportunity Employer (EOE) and we support diversity in the workforce.

Apply