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Machine Learning Engineer Starting Jobs in Renton, WA

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... The starting pay may be negotiable within the salary range for the position. These pay zones may be ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... The starting pay may be negotiable within the salary range for the position. These pay zones may be ...

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ... The starting base salary range for this position is typically $208,000-$260,000. In the U.S ...

Machine Learning Engineer II

Seattle, WA

$111K - $151K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and ...

New

Senior Machine Learning Engineer

Seattle, WA ยท On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Staff Machine Learning Engineer

Seattle, WA ยท On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... The starting pay may be negotiable within the salary range for the position. These pay zones may be ...

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Showing results 1-20

Machine Learning Engineer Starting information

See Renton, WA salary details

$35.4K

$144.8K

$217.7K

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

As of Jul 21, 2026, the average yearly pay for machine learning engineer starting in Renton, WA is $144,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $174,300.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers working in top tech companies or specialized fields can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in deep learning, large-scale data processing, and proficiency with tools like TensorFlow or PyTorch, along with significant industry experience and a strong track record of impactful projects.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, focusing on developing and refining AI models. Other resilient roles include data scientists, who interpret complex data, and cybersecurity professionals, who protect systems from evolving threats. These jobs require specialized skills and adapt to technological changes, making them more resistant to automation.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Junior Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in model development, data preprocessing, and deploying AI solutions.

What jobs should I get before getting into machine learning engineer?

Entry-level roles such as data analyst, software developer, or research assistant can provide relevant experience for aspiring machine learning engineers. Gaining skills in programming languages like Python or R, understanding data manipulation, and working with tools like SQL and machine learning frameworks are valuable steps before transitioning into a machine learning engineer role.
What cities near Renton, WA are hiring for Machine Learning Engineer Starting jobs? Cities near Renton, WA with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer, Level 3

Machine Learning Engineer, Level 3

Snapchat

Seattle, WA โ€ข On-site

Full-time

Medical

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We're looking for a Machine Learning Engineer to join Snap Inc!

What you'll do:

  • Build and deploy machine learning models for core Snapchat products

  • Apply established ML techniques to solve well-defined, real-world problems

  • Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment

  • Collaborate with cross-functional partners and teammates to implement and launch ML-driven features

  • Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Knowledge, Skills & Abilities:

  • Strong understanding of machine learning approaches and algorithms

  • Able to prioritize duties and work well on your own

  • Ability to work with both internal and external partners

  • Skilled at solving open ambiguous problems

  • Strong collaboration and mentorship skills

  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices

Minimum Qualifications:

  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

  • 1+ years of post-Bachelor's machine learning experience; or Master's degree in a relevant technical field

  • Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

  • Advanced degree in computer science or related field

  • Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

  • Experience working with machine learning, ranking infrastructures, and system design

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $118,000-$176,000 annually.


Zone B:

The base salary range for this position is $112,000-$167,000 annually.

Zone C:

The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.