Senior Machine Learning Engineer
Remote - US · Los Angeles, California, United States
- Pay
USD 120,000–205,700/yearLocation-specific pay — pay source
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.
Read the full posting- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
ITS — team source
Department: ITS
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Read the full posting
What you’ll work on
Full postingDrive the design and improvement of core ML models
Own data and training pipelines for ML projects
Own projects end-to-end from inception to delivery
Iteratively refine ambiguous problem spaces
From the employer’s posting
you will be a driving force behind our core ML models
underlying data and training pipelines
Be responsible for your domain of expertise on projects from inception to delivery and beyond
Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
What you’ll bring
All qualificationsCore experience
- 5+ years in ML, data engineering, or a related quantitative field
- Expert in statistical modeling and ML methods, including deep learning and NLP
- Track record of deploying scalable ML solutions in production, ideally on Kubernetes and GCP
- Strong Python, Java, or Scala and optimized SQL
- Experience with big data frameworks such as Spark or Beam
Preferred experience
- Experience with graph databases, collaborative filtering, or user vectorization
- Experience with large-scale sentiment analysis
- Experience with Typescript or Golang
- Experience with source control, CICD, Protobuf, or infrastructure as code
Qualification wording
5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field
Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection
Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP
Strong proficiency in Python, Java, or Scala
experience with big data processing frameworks (e.g., Spark, Beam)
Experience with graph databases, collaborative filtering, or user vectorization
Experience with large-scale sentiment analysis
Experience with Typescript or Golang
Experience with source control, CICD, Protobuf, or infrastructure as code
Tools in this posting
- Go
- Java
- Python
- Scala
- SQL
- TypeScript
- BigQuery
- GCP
- Iceberg
- Kubernetes
- Snowflake
- Spark
Source — Tool mentions in context
• Experience with large-scale sentiment analysis • Experience with Typescript or Golang • Experience with source control, CICD, Protobuf, or infrastructure as code
- Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP - Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction - Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)
- Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction - Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet) - Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders
- Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance - Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP - Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction
Benefits in the posting
Full benefits wording- Paid Time Off, Holidays and Two Weeks Winter Break
- Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.
- Pet Insurance for those who need it too.
- Compassionate leave for employees who needs to take care of their family members
- Pre-tax wellness stipend
- Pre-tax work from home stipend
- Access our savings plan (401K program) with company match
- Mental health resources including Headspace membership and Employee Assistance Program (EAP)
- Discount portal for everyday goods and services
- Employee inclusive and diversity initiatives such as Grow Together
- The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.
From the employer’s posting.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 147 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 147 days ago
- Recorded sightings
- 99
- Last seen by us
- Oct 28, 2026
- Employer says posted
- Mar 20, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Senior Machine Learning Engineer
Remote US & Canada
We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.
We expect you to:
Have deep passion for video games and think on behalf of our players
Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you
Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
Be responsible for your domain of expertise on projects from inception to delivery and beyond
Required Skills
5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products
Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task
Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance
Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP
Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction
Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)
Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders
Preferred Experience
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:
• Experience with graph databases, collaborative filtering, or user vectorization
• Experience with large-scale sentiment analysis
• Experience with Typescript or Golang
• Experience with source control, CICD, Protobuf, or infrastructure as code
• Experience in the video game industry
• Experience in a small company with a startup feel
• Interest in technical writing and sharing your work
Perks:
• Paid Time Off, Holidays and Two Weeks Winter Break
• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.
• Pet Insurance for those who need it too.
• Compassionate leave for employees who needs to take care of their family members
• Pre-tax wellness stipend
• Pre-tax work from home stipend
• Access our savings plan (401K program) with company match
• Mental health resources including Headspace membership and Employee Assistance Program (EAP)
• Discount portal for everyday goods and services
• Employee inclusive and diversity initiatives such as Grow Together
• Support for personal professional development
We look forward to meeting you!
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.
Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.
#LI-Remote
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.
- Location & working pattern
Los Angeles, California, United States
Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.
More source context
Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area. #LI-Remote
- Work authorization
We look forward to meeting you! Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.
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