Reddit
Senior Software Engineer, ML Feature Platform
Reddit, Myrtle Point, Oregon, United States, 97458
Why consider this job opportunity
Salary up to $303,400 USD
Opportunity to work on large-scale machine learning systems impacting millions of users
Comprehensive healthcare benefits and income replacement programs
Flexible vacation policy and generous paid parental leave
Mentorship opportunities within a collaborative and innovative team
Fully remote work environment with the option to work from physical office locations
What to Expect (Job Responsibilities)
Lead the development, testing, and maintenance of the ML Feature Store and Feature Engineering infrastructure
Collaborate with engineers across the ML Platform to enhance overall platform capabilities
Assist management with team goal setting, planning, and ensuring successful project execution
Mentor team members in implementing a rigorous DevOps approach to maintain ML infrastructure quality
Build feature stores for online inference and model training to support various applications
What is Required (Qualifications)
4-6+ years of experience in a production software development environment
Experience with large-scale machine learning systems serving hundreds of millions of users
Proven experience in building feature stores and feature engineering infrastructure
Proficiency in object-oriented programming languages, including Python, Scala, and Golang
Familiarity with Kubernetes and large-scale open-source data stacks such as Kafka, Flink, Cassandra, and Redis
How to Stand Out (Preferred Qualifications)
Experience with distributed systems and data-intensive applications at a petabyte scale
Strong organizational and communication skills to facilitate team collaboration
#MachineLearning #SoftwareEngineering #RemoteWork #CareerGrowth #HealthcareBenefits
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Salary up to $303,400 USD
Opportunity to work on large-scale machine learning systems impacting millions of users
Comprehensive healthcare benefits and income replacement programs
Flexible vacation policy and generous paid parental leave
Mentorship opportunities within a collaborative and innovative team
Fully remote work environment with the option to work from physical office locations
What to Expect (Job Responsibilities)
Lead the development, testing, and maintenance of the ML Feature Store and Feature Engineering infrastructure
Collaborate with engineers across the ML Platform to enhance overall platform capabilities
Assist management with team goal setting, planning, and ensuring successful project execution
Mentor team members in implementing a rigorous DevOps approach to maintain ML infrastructure quality
Build feature stores for online inference and model training to support various applications
What is Required (Qualifications)
4-6+ years of experience in a production software development environment
Experience with large-scale machine learning systems serving hundreds of millions of users
Proven experience in building feature stores and feature engineering infrastructure
Proficiency in object-oriented programming languages, including Python, Scala, and Golang
Familiarity with Kubernetes and large-scale open-source data stacks such as Kafka, Flink, Cassandra, and Redis
How to Stand Out (Preferred Qualifications)
Experience with distributed systems and data-intensive applications at a petabyte scale
Strong organizational and communication skills to facilitate team collaboration
#MachineLearning #SoftwareEngineering #RemoteWork #CareerGrowth #HealthcareBenefits
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr