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Machine Learning Process Engineer Jobs (NOW HIRING)

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

... processing and agentic AI. How you will make 10x impact: * Train, and deploy machine learning ... Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.

Howmet

Machine Learning Engineer

Whitehall, MI · On-site

Identify opportunities to optimize processes and implement continuous improvement tools using ... Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Identify opportunities to improve analytical processes, outputs, and decision-support frameworks ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Natural Language Processing, NLP * Python * R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft ...

Machina Labs

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large‑scale data processing and model development.

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Create and implement big data processing pipelines and architectures * Design and build scalable ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Transformer Architectures for Natural Language Processing. * Generative Adversarial Architectures.

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Role Summary The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties * Develop ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

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Machine Learning Process Engineer information

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How much do machine learning process engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning process engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Learning Process Engineer jobs?

For Machine Learning Process Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Process Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Machine Learning Engineer

Mountain View, CA • On-site

Tapestry
See more jobs at Tapestryexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Tapestry Inc. rating

8.2

Company rating: 8.2 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

Job description

About Tapestry
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
  • Train, and deploy machine learning models in production environments.
  • Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains
  • Operationalize ML model training at serving at enterprise scale
  • Stay abreast of the latest advancements in machine learning

What you should have:
  • Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field
  • 3+ years of experience in machine learning model development and engineering.
  • Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning
  • Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
  • Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting

It'd be great if you also had these:
  • PhD in Machine Learning, Computer Science, Statistics, or a related field
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • A strong portfolio of projects demonstrating ML expertise.

Our values
  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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