ΠΡΠ° Π²Π°ΠΊΠ°Π½ΡΠΈΡ Π² Π°ΡΡ ΠΈΠ²Π΅
ΠΠΎΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ βΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 2 ΠΌΠ΅ΡΡΡΠ° Π½Π°Π·Π°Π΄
Software Engineer (AI)
160Β 000 - 230Β 000$
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Software Engineer (AI): Designing and building cutting-edge product capabilities for the ML Feature Store with an accent on complex feature transformations and low latency feature serving. Focus on incorporating new advances in machine learning into the platform, contributing to operational excellence, and collaborating on integrated ML solutions for customers.
Location: Must be based in the United States (Bellevue, WA or Menlo Park, CA)
Compensation: $160Kβ$230K
Company
empowers enterprises to achieve their full potential, fostering a culture of impact, innovation, and collaboration for building big and moving fast.
What you will do
- Design and build new features for the Feature Store in collaboration with senior engineers.
- Write, test, and deploy high-quality, scalable code in Java and Python.
- Help incorporate new advances in machine learning into the platform.
- Contribute to the operational excellence of services by improving reliability and performance.
- Collaborate with engineers on partner teams to build integrated and seamless ML solutions for customers.
Requirements
- 2+ years of industry experience (or equivalent internship/project experience) designing and building data-intensive systems or software.
- Strong programming skills in Python or Java.
- A solid understanding of computer science fundamentals (data structures, algorithms, operating systems).
- A passion for building scalable, high-performance systems.
- A growth mindset and an eagerness to learn and solve complex problems.
- BS in Computer Science or a related degree; MS/PhD is a plus.
Nice to have
- Experience with ML data management and/or streaming, low latency data serving infrastructure.
Culture & Benefits
- Work at the forefront of innovation in machine learning infrastructure.
- Work with cutting-edge technologies and solve complex challenges.
- Directly impact how organizations leverage machine learning.
- Opportunity to learn from talented engineers.
- Contribute to products reshaping the industry.
- Join a fast-growing team that values innovation, impact, and collaboration.