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Senior Machine Learning Engineer

Join Atoms as a Senior Machine Learning Engineer to build AI solutions for the food industry with a focus on real-world impact.

Location
Mountain View, CA
Compensation
$175k–$230k/yr
Level
senior
Type
full time · On-site

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Atoms → Save job Scanned from atoms.co

AI in the day-to-day

Leverage cutting-edge machine learning methodologies to address diverse challenges in the food industry.

Requirements

Experience
3+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In the role of Senior Machine Learning Engineer at Atoms, the individual will focus on developing advanced AI solutions tailored for the food industry, utilizing techniques such as deep learning and large language models. Proficiency in Python and experience with machine learning models are essential, alongside a strong foundation in data analysis and visualization. This position is ideal for someone with a master's or PhD in a relevant field and at least three years of experience, who thrives in a fast-paced, collaborative environment. Atoms emphasizes innovation and teamwork, aiming to transform physical systems through automation.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Atoms's careers page October 29, 2026.
  • This exact title is also open at 1 other location at Atoms: San Francisco, CA.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 34% of 205 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
  • Python appears in 53.4% of 551 comparable senior ai/ml roles in United States; Graph Neural Networks appears in 0.4% of 551 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Machine Learning Engineer role remote?
No — this is an on-site role in Mountain View, CA.
What's the salary range?
Atoms lists $175,000–$230,000 for this role.
How much experience is required?
At least 3 years of relevant experience for this Senior Machine Learning Engineer role.
Where is the role based?
Atoms is hiring for this position in Mountain View, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: Deep Learning, Go, Graph Neural Networks, Java, Machine Learning, Python.
What seniority level is this role?
Atoms targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Machine Learning Engineer role at Atoms.

From the original posting

What you’ll do

As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:

  • Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
  • Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
  • Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
  • Collaborative Teamwork: Work closely with a team to enhance and support technology
  • Innovation: Drive innovation within the team and support Atoms technological advancements

What we’re looking for

  • Bachelors degree required
  • Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field is required with preferred 3+ years of relevant experience
  • Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
  • Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
  • High energy rapid software development, iterating and pivoting quickly
  • Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
  • Proficient in Python; Familiarity with Java/Go
  • Experience with data analysis and visualization
  • Strong communication and presentation skills



What else you need to know

This role is based in our Mountain View office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $190,000 - $250,000 per year.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

  • Medical, dental, and vision insurance (multiple plans, incl. HSA options).
  • Company-paid life and disability insurance (short- and long-term).
  • Voluntary insurance: accident, critical illness, hospital indemnity.
  • Optional supplemental life insurance for self, spouse, and children.
  • Pet insurance discount.
  • 401(k).
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

#LI-Onsite

Standard company text repeated across Atoms's postings is omitted here.

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