New Grad ML Engineer: Design & Build RL Environments

Preference Model; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive cash and equity compensation

Health, vision, dental benefits

401K match

Lunch provided everyday onsite

Visa sponsorship & relocation support

Job summary

Preference Model is hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments. You will blend research and engineering roles in a dynamic startup environment that values diverse perspectives.

The ideal candidate should possess strong ML fundamentals, proficiency in Python, and a passion for evolving ML infrastructure. The role offers competitive cash and equity compensation, along with comprehensive health benefits and the opportunity to work with leading engineers.

Qualifications

• Strong ML fundamentals and broad research interests.
• Proficiency in Python and systems programming.
• Smart problem solvers who take ownership of solutions.
• Passion for staying current with ML infrastructure.

Responsibilities

• Design and build RL environments and reward schemes.
• Collaborate with others to improve the environment building process.
• Build deep expertise in ML research and inference infrastructure.

Skills

Machine Learning fundamentals

Python programming

Proficiency in PyTorch or JAX

Problem-solving

Knowledge of ML infrastructure

Research experience

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Azure

Job description

Preference Model is hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments. You will blend research and engineering roles in a dynamic startup environment that values diverse perspectives.

The ideal candidate should possess strong ML fundamentals, proficiency in Python, and a passion for evolving ML infrastructure. The role offers competitive cash and equity compensation, along with comprehensive health benefits and the opportunity to work with leading engineers.