Sr. Machine Learning Engineer

Company shown to members 🔒 · Remote · US only

US only3+ years required$250K/yrPublished 2 November 2026Looks fresh

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First recorded by Psst: 3 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
3+ years required
Where you can live
US only
Skills and tools
sql, python, data analysis, a/b testing, java, kubernetes
Degree or licence
Mentioned (master's)

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Not stated by the employer
Advertised pay
$250K/yr
Experience
3+ years required
Employer publication date
2 November 2026
First recorded by Psst
3 November 2026
Last checked at the source
10 November 2026

About the job

About the company

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At the company, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: Build cutting edge technology using the latest advances in deep learning and machine learning. Partner closely with teams across to experiment and improve machine learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how machine learning works in different areas. Use data driven methods and leverage the unique properties of our data to improve candidates’ retrieval. Work in a high-impact environment with quick experimentation and product launches. Keep up with industry trends in recommendation systems. Leverage LLMs to enhance content understanding. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master's degree in Electrical Engineering, Computer Science or a related field and three (3) years of experience in the job offered or in a related position.

Special Skill Requirements: Three years of experience in the following: 1) C++, Python, Java, and SQL for production services, data analysis.; 2) Databases and distributed storage- distributed relational system; 3) Large Language Model (LLM); 4) Approximate nearest neighbor (ANN) search; 5) Recommender systems, Search systems, Ads systems; 6) Spark; 7) Airflow; 8) Kubernetes; 9) A/B Testing; 10) Pytorch; and 11) Information retrieval. Partial telecommuting permitted from within a commutable distance.

Salary: $249,600.00 to $332,012.00 per annum

Reference #: L25-167700

This position is not available for relocation assistance.

Our Commitment to Inclusion

The company is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also  Know Your Rights  and  the company Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete  this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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