Software Engineer - Machine Learning Platform
To see similar active jobs please follow this link: Remote Development jobs
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 Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
Role Description: As a Software Engineer, Machine Learning Platform, this person will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. This person will specifically have major impact on the Feature Store/Data Engineering side of the ML Platform! You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle.
Lead the building, testing, and maintenance of ML infrastructure at Reddit, specifically on the Feature Store
Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the architecture of the ML Platform
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality
Responsibilities:
Contribute to the building, testing, and maintenance of ML infrastructure at Reddit
Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the architecture of the ML Platform
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality
Required Qualifications:
3+ years of work experience in a production software development environment
Experience working on large-scale ML Systems
Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Scala, and golang.
Experience with Kubernetes
Knowledge of maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis
Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
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
About the job
Software Engineer - Machine Learning Platform
To see similar active jobs please follow this link: Remote Development jobs
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 Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
Role Description: As a Software Engineer, Machine Learning Platform, this person will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. This person will specifically have major impact on the Feature Store/Data Engineering side of the ML Platform! You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle.
Lead the building, testing, and maintenance of ML infrastructure at Reddit, specifically on the Feature Store
Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the architecture of the ML Platform
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality
Responsibilities:
Contribute to the building, testing, and maintenance of ML infrastructure at Reddit
Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the architecture of the ML Platform
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality
Required Qualifications:
3+ years of work experience in a production software development environment
Experience working on large-scale ML Systems
Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Scala, and golang.
Experience with Kubernetes
Knowledge of maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis
Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
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