Benefits:

• Healthcare benefits covered at 100% for employees and 70% for dependents

• Generous parental leave policy

• Mental health support through Talkspace

• Financial wellness support through Northstar

• Unlimited PTO and standard company holidays

Experience Requirements:

• Proven track record leveraging strong backend engineering fundamentals to build and ship distributed systems.

• 10+ years of experience as a software engineer building large-scale distributed backend systems.

• Proficiency in Go

• Experience operating at Medium’s product/user scale (millions of users; continuous delivery; feature flags).

• Experience modernizing legacy code bases.

Other Requirements:

• Attend Medium’s twice-yearly, in-person offsites (hosted in locations around the U.S.).

• Only US-based candidates are eligible for this role.

• Medium is awesome

• answers were generated by artificial intelligence

Responsibilities:

• Own the architecture for large-scale, complex product projects.

• Own the implementation of critical features and systems, ensuring their ongoing health, scalability, and efficiency, while improving and modernizing the surrounding ecosystems.

• Work with engineering, design, and product leadership to evolve existing features and innovate in new directions.

• Lead efforts to improve engineering standards, tools, frameworks, and processes.

• Mentor and develop other engineers on the team.

Benefits:

• Healthcare benefits covered at 100% for employees and 70% for dependents

• Generous parental leave policy

• Mental health support through Talkspace

• Financial wellness support through Northstar

• Unlimited PTO and standard company holidays

Experience Requirements:

• You’ve been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models.

• You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation).

• You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people’s experiences better.

• You’re fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn.

• You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval.

Other Requirements:

• Attend Medium’s twice-yearly, in-person offsites (hosted in locations around the U.S.).

• Only US-based candidates are eligible for this role.

• Medium is awesome

• answers were generated by artificial intelligence

Responsibilities:

• You’ll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them.

• Drive the research. Lead with curiosity and precision. You’ll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking.

• Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side.

• Own and continuously improve our recommendation systems.

• Find new and innovative ways to use ML techniques to better serve our community of readers and writers.