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Remote Machine Learning Ops Engineer Jobs (NOW HIRING)

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

New

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

New

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Proven ability to work effectively in cross-functional teams (DS, DE, Cloud Ops, Product) with a ... Experience in operationalizing and deploying machine learning models using production-grade MLOps ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Employee divides their time between in-office and remote work. Access to an office location is ...

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Employee divides their time between in-office and remote work. Access to an office location is ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

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Remote Machine Learning Ops Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do remote machine learning ops engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
More about Remote Machine Learning Ops Engineer jobs
What cities are hiring for Remote Machine Learning Ops Engineer jobs? Cities with the most Remote Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Remote Machine Learning Ops Engineer jobs? States with the most job openings for Remote Machine Learning Ops Engineer jobs include:
Infographic showing various Remote Machine Learning Ops Engineer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer - Expert

Mercor

San Francisco, CA • On-site, Remote

$90/hr

Full-time

Posted 22 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

  • Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
  • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.
  • Perform exploratory data analysis, feature engineering, and data preprocessing.
  • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.
  • Review and validate the technical quality of machine learning projects and deliverables.
  • Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

  • Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.
  • 2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.
  • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.
  • Strong understanding of model evaluation metrics, validation methodologies, and experimental design.
  • Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.
  • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

  • PhD from a leading research university.
  • Experience at leading technology companies, AI labs, research institutions, or high-growth startups.
  • Participation in competitive machine learning or data science competitions.
  • Experience optimizing models against performance-based evaluation metrics.
  • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.
  • Publications, patents, or significant open-source contributions in machine learning or AI.
  • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.