Remote Jobs

Reddit logo

Staff Software Engineer - ML Training Platform

Reddit

Location
United States of America
Posted
Salary Range
230k - 322k USD

Architect and maintain ML infrastructure at Reddit, enabling seamless experiences for millions of users. Lead the development of high-performance ML platforms, optimize workflows, and mentor team members while enjoying comprehensive benefits.

Dropbox logo

Senior Engineering Manager - Connectors Platform

Dropbox

Location
United States of America
Posted
Salary Range
192k - 293k USD

Senior Engineering Manager at Dropbox, leading high-performing teams in developing seamless integrations between AI-powered products and third-party applications.

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Senior Software Engineer, Windows Desktop App

DuckDuckGo

Location
Cameroon
Posted

Senior Software Engineer at DuckDuckGo: Build secure, privacy-focused Windows applications with C#/.NET 8, WPF, WebView2, Git, and Visual Studio.

Mapbox logo

Software Development Engineer II - 3DLN, Rendering

Mapbox

Location
Germany
Posted

Develop 3D Live Navigation for Mapbox Navigation SDK, collaborate on cross-platform API design and performance tuning, and optimize real-time sensor data visualization.

Syndigo logo

Software Engineer - Backend _Java/Big Data

Syndigo

Location
India
Posted

Join Syndigo as a Software Engineer (Backend - Java/Bigdata) and contribute to the development of software solutions for various industries.

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Manager - Software Engineering

Restaurant365

Location
United States of America
Posted

Engineering Manager at Restaurant365 leads software engineering teams, drives architectural changes, and collaborates with QA & Product teams to deliver high-quality software solutions.

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Software Engineering Manager

AffiniPay

Location
United States of America
Posted

Lead our engineering teams to develop scalable applications for MyCase using modern frameworks. Manage engineers, optimize processes, collaborate with product and UX teams, and drive technology initiatives while staying updated on industry trends.

Planet logo

Software Engineering Manager

Planet

Location
United States of America
Posted
Salary Range
143k - 203k USD

Lead Planet's engineering teams in building scalable compute infrastructure for satellite imagery processing. Manage high-volume systems using Kubernetes and public clouds, fostering innovation and team success while ensuring alignment with organizational goals.

Planet logo

Software Engineering Manager

Planet

Location
Canada
Posted

Lead Planet's engineering team in managing large-scale compute systems for satellite imagery processing. Focus on infrastructure reliability, scalability, and fostering a culture of innovation while collaborating with cross-functional teams to align organizational goals.

Apollo logo

Manager, Software Engineering

Apollo

Location
Canada
Posted
Salary Range
191k - 238k USD

Lead engineering team at GraphOS Runtime, driving innovation and collaboration for scalable data access layers.

Apollo logo

Manager, Software Engineering

Apollo

Location
Canada
Posted
Salary Range
191k - 238k USD

Lead engineering team for GraphOS platform, prioritize deliverables, and foster collaboration

Platform Science logo

Sr. Software Development Engineer in Test

Platform Science

Location
United States of America
Posted

Senior Software Development Engineer in Test at Platform Science, delivering high-quality software products with a focus on automated testing and collaboration with developers.

Testlio logo

Software Testing Manager

Testlio

Location
Brazil
Posted

Remote Testing Manager role at Testlio, managing testing delivery, defining strategies, and collaborating with clients to deliver quality results.

Shippo logo

Technical Program Manager - Data Platform

Shippo

Location
Brazil
Posted
Salary Range
150k - 200k USD

Lead cross-functional projects at Shippo to modernize data infrastructure and foster self-service analytics. Manage strategic initiatives, improve data reliability, and align with business goals while working in a remote-friendly environment.

Goodnotes logo

Senior Software Engineer - Rich Text Editor

Goodnotes

Location
Brunei Darussalam
Posted

Join Goodnotes as a Senior Software Engineer to develop advanced rich text editors with multiplayer capabilities. Work on challenging projects, collaborate with a talented team, and enjoy remote or office-based work with excellent benefits including equity, health insurance, and professional development opportunities.

Reddit logo

Staff Software Engineer - ML Training Platform

Reddit

Salary Range

230k - 322k USD / YEAR

Job Summary

At Reddit's Machine Learning Platform team, as a Staff Software Engineer, Training Platform, you will work on foundational ML infrastructure that powers key features like Feeds Ranking and Recommendations. Your role involves building systems to enable machine learning engineers and data scientists, improving the ML software development lifecycle, and delivering a self-service platform for continuous iteration of ML models. You'll lead in designing high-performance solutions, optimize large-scale workflows, mentor team members, and work with management on strategic goals. The position offers comprehensive benefits including healthcare, 401k matching, workspace support, professional development funds, family planning support, flexible vacation, wellness days, parental leave, and paid volunteer time off.

Skills

DockerGoLangKubernetesPythonPyTorchTensorFlowJAXRayMLflow

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. 

Who We Are:  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.

What You’ll Do: As a Staff Software Engineer, Training Platform, this person will work on our wider Machine Learning Platform team, and be instrumental in architecting, implementing, and maintaining foundational 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. You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle. You will deliver a self service ML platform that enables the continuous iteration and improvement of systems that use ML techniques including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning and Computer Vision.

  • Lead 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

  • Play a pivotal role in designing, building, and optimizing the infrastructure and tooling required to support large-scale machine learning workflows

  • Design and implement solutions that significantly advance the architecture of the ML Platform

  • Analyze bottlenecks in distributed systems and optimize for performance and cost-efficiency

  • 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

Who You Might Be:

  • 8+ years of work experience in a production software development environment or building data systems plus a degree in ML, Engineering, Computer Science, or other relevant discipline

  • Experience with design and architecture of large scale ML Systems  

  • Experience with ML frameworks such as TensorFlow, PyTorch, or JAX

  • Experience with training workflows, hyperparameter tuning, and resource optimization on CPU and GPU

  • Experience with MLOps practices and tools such as Ray and MLFlow

  • Hands-on experience with Kubernetes, Docker, or other container orchestration systems

  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object oriented programming, experience in: Python and/or golang.

  • 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

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