Reddit Logo

Reddit

Machine Learning Engineer, Search (multiple levels)

Job Posted 18 Days Ago Reposted 18 Days Ago
Remote
Hybrid
Hiring Remotely in United States
186K-322K Annually
Mid level
Remote
Hybrid
Hiring Remotely in United States
186K-322K Annually
Mid level
As a Machine Learning Engineer, you will enhance search systems, build AI-driven products, collaborate with teams, and maintain high pipeline performance.
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 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 & Recommendation Relevance team focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and opinions 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 products at Reddit.

In this role, you will contribute to advancing our current search systems as well as building and iterating on Reddit Answers, our next generation AI-driven search product. As a Machine Learning Engineer, you will:

Role Description:

  • Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems.  
  • Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant.  
  • Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system.
  • Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.
  • Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search 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: 

  • 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale. 
  • Experience in working and building machine learning models using PyTorch or Tensorflow.
  • Experience working with search & recommender systems and pipelines.
  • 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.
  •  

Benefits:

  • Comprehensive Healthcare Benefits
  • 401k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation (please use them!) & Reddit Global Wellness Days
  • 4+ months paid Parental Leave
  • Paid Volunteer time off

#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

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 you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.

Top Skills

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

Similar Jobs

An Hour Ago
Remote
San Francisco, CA, USA
136K-218K Annually
Senior level
136K-218K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Data Engineer, you'll design data models, build scalable data pipelines, and improve data quality, collaborating across teams.
Top Skills: AirflowSparkAthenaAws Data ServicesEmrFlinkHiveJavaKafkaPythonRedshiftSparkSQL
2 Hours Ago
Remote
Hybrid
5 Locations
150K-150K Annually
Mid level
150K-150K Annually
Mid level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
The Senior Infrastructure Engineer - Hosting will design and manage hosting environments, automate deployments, and ensure system performance, security, and compliance, while collaborating with cross-functional teams.
Top Skills: AnsibleApacheCephDockerHaproxyKubernetesLinuxMariadbMySQLNginxProxmoxSaltstackTerraformTraefik
2 Hours Ago
Remote
Hybrid
5 Locations
150K-150K Annually
Senior level
150K-150K Annually
Senior level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
Design, build, and maintain Linux servers and network systems, troubleshoot issues, develop automation scripts, and ensure security configurations in data centers.
Top Skills: ApacheBgpDockerEximFreeipaGoJavaKeycloakKubernetesKvmLinuxLxcNginxPHPPostfixProxmoxPythonRubyVxlan

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account