Senior Machine Learning Engineer, Dev Platform Data and Discovery
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Requirements
• 5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment. • Prior experience with personalized feed ranking. • Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications. • Ability to lead and mentor machine learning engineers or data scientists. • Strong communication skills to collaborate effectively with cross-functional teams and stakeholders. • Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI. • Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset • Proficiency with programming languages and statistical analysis • Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture is a big plus • Experience in Bayesian methodology and experimentation is a plus • Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
Responsibilities
• Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance. • Identify opportunities to enhance ranking capabilities by diving deep into our platform and understanding the needs of our customers. • Design and develop applied machine learning models for modeled personalization, game taxonomy, and more, from ideation to production deployment. • Collaborate with data scientists, product managers and backend software engineers. • Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies. • Conduct A/B tests and experiments to iterate and fine-tune algorithms and models. • Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community. • Design, implement, and maintain reliable, high-performance distributed systems.
Benefits
• Comprehensive Healthcare Benefits and Income Replacement Programs • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Reddit Global Days off • Generous paid Parental Leave • Paid Volunteer time off • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Flexible Vacation & Paid Volunteer Time Off • Pay Transparency: • 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. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. • The base pay range for this position is: • $216,700 - $303,400 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.