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Reddit

Machine Learning Engineer, Search and Answers

Reposted 9 Days Ago
Easy Apply
Remote or Hybrid
Hiring Remotely in United States
186K-322K Annually
Senior level
Easy Apply
Remote or Hybrid
Hiring Remotely in United States
186K-322K Annually
Senior level
The Machine Learning Engineer will enhance search retrieval, train ranking models, build query understanding systems, and ensure robust pipelines for Reddit's AI-driven products.
The summary above was generated by AI
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 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Location:
This role is completely remote-friendly. 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.

Team Description:
The Search and Answers team at Reddit focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. We provide this content to users in the form of Reddit Search and through Reddit Answers, our new gen AI product.

Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers, opinions, and communities from all across Reddit on any topics, empowering discovery.  

We are looking for Machine Learning Engineers across multiple levels to shape the future of  Search and Answers products at Reddit. As a Machine Learning Engineer, you will:

Role Description:

  • Develop and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval
  • Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents
  • Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows.
  • Use LLMs with Prompt Engineering, Fine Tuning, and other advanced gen AI techniques to build and iterate on Reddit Answers, all while keeping low latencies and top of the line quality!
  • Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results.
  • Leverage your technical expertise to ensure our pipelines have robust monitoring, high uptime and low latency, while collaborating with other technical leaders, product managers, data scientists, ML modelers, and platform engineers to develop a long-term roadmap that aligns with the needs of a constantly evolving product ecosystem.  
  • This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. 

Required Qualifications: 

  • 5-10+ years of industry experience as a machine learning engineer
  • Experience in building and productionizing machine learning models using PyTorch or Tensorflow.
  • Experience working with search & recommender systems or query understanding systems at scale.
  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang.
  • Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems.
  • Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.

Reddit is seeking an Engineering Manager as a technical leader for our Small to Medium Business (SMB) focused Advertiser Growth efforts. In this role, you will be responsible for developing the technical foundation for mission critical product pillars, collaborating across the company to deliver outcomes for the Reddit Ads Business, and leading the team responsible for acquiring new advertisers on Reddit.

This role provides an opportunity to partner closely with cross-functional teams such as product, design, marketing, data science, UX and Sales, and, ultimately, to make a large number of small to medium businesses successful on Reddit.

As a leader for all of these efforts, you will set the engineering strategy for building iteratively, shipping quickly, testing rigorously, and adding step-change capabilities towards our ambitious goals of multiplying many times over our number of monthly active advertisers. This is an exciting moment in Reddit’s journey where we have the knowledge, resources and infrastructure to bring Reddit’s unique products to more people and help more small businesses be successful on our platform. This is an impactful opportunity to lead a team through an existing period of worldwide user and advertiser growth.

Responsibilities

  • Lead, coach, and grow a team of engineers across the stack, including mobile, frontend, and backend
  • Collaborate with designers and product managers to discover and build new Ad functionality and products. Be a thought leader in this process. 
  • Maintain and enhance the team culture of fast iteration, experimentation, and collaboration.
  • Ensure the long term success of both the product and the growth of our people
  • Participate in and be the ultimate owner of the full development cycle: product ideation, design, development, QA, experimentation, analysis, and launch. You’ll be brainstorming, giving feedback on design docs, product specs and mocks, and generally helping out wherever is needed.
  • Collaborate with multiple teams across the entire company to make SMBs successful on reddit

Required Qualifications 

  • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a related field
  • Engineering leadership experience working across multiple teams
  • At least 2 years of experience working on Ads products and/or growth engineering
  • 5+ years of experience in software engineering
  • Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment
  • Experience working with multiple teams in product & design 
  • Knowledge of full stack product development practices (Frontend, Mobile, Backend)

Preferred Qualifications:

  • Experience working on SMB related products/projects

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 

#LI-DB1 #LI-Remote

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:
$185,800$322,000 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.

Top Skills

Airflow
BigQuery
Go
GraphQL
Grpc
HTTP
Kafka
Kubeflow
Python
PyTorch
Redis
Rest
TensorFlow
Thrift

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