Remote Jobs Remote / WFH Teknologi & IT Full Time

Machine Learning Engineer

Reddit

Remote USD 187.574 – 260.100 Posted 14 hr ago
Location Remote
Salary USD 187.574 – 260.100
Job Type Full Time · Remote
Country United States

Job Description

Full details about the role and requirements

Yukerja Summary

The Machine Learning Engineer role at Reddit is curated from Remote Jobs (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.Job Duties: Design and implement the next generation ML based systems that power Reddit. Work closely with product and ML engineers to design and implement scalable interfaces. Collaborate with other engineers to improve the recommendation systems and models that power personalization and discovery. Train, evaluate, and deploy sophisticated machine learning models to improve experiences for millions of users. Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate. Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges. Full-time telecommuting is an option.

Minimum

Requirements:Master’s degree in Computer Science, Engineering (any field) or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.

Special Skill

Requirements: (1) Recommendation and Ranking System Design and Algorithms; (2) PyTorch and Tensorflow; (3) AWS, S3 and RDS; (4) Scikit-learn; (5) Pandas; (6) Writing production-grade software for large-scale, real-time recommender systems; (7) Machine Learning related tooling and frameworks; (8) Advanced Deep Learning theory and algorithms; (9) Analysis of large-scale datasets; (10) Design and implementation of large-scale A/B tests; (11) Cloud environments (GCP) and relevant tooling (BigQuery); and (12) Microservices architecture. Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option.

Benefits

  • Comprehensive Healthcare

Benefits and Income Replacement Programs

  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching

Benefits

  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.271.3.

Pay Transparency

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of

benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.

The base pay range for this position is: $187,574.00 - $260,100.00 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/machine-learning-engineer-reddit

Disclaimer: Yukerja.com is a job aggregator, not an employer. This listing is aggregated from Remote Jobs. Applications are processed on the official company or source site. We are not responsible for listing accuracy.

Tips for Applying to Machine Learning Engineer

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  2. Tailor your CV and cover letter to keywords in the job description — especially for Teknologi & IT roles.
  3. Click Apply Now to go to Remote Jobs. The hiring process is entirely on the source site.
  4. Prepare an updated portfolio or LinkedIn profile if required during screening.
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