refresh

热门公司

Trending

招聘

JobsTemporal

Machine Learning Engineer

Temporal

Machine Learning Engineer

Temporal

New York / Remote

·

Remote

·

Full-time

·

5d ago

Required Skills

PyTorch

Machine Learning

Summary: Join Temporal, a leading Solana native Research & Development firm, as a Machine Learning Engineer. Contribute to cutting-edge projects by designing, training, and deploying predictive models for adversarial systems while building high-performance ML infrastructure. Stay at the forefront of technological advancements by engaging with the latest research and contributing to open-source development.

Responsibilities:

  • Design, train, and deploy predictive models for adversarial systems

  • Build and maintain high-performance ML infrastructure that scales from research prototypes to production systems

  • Stay on the frontier: read new papers, reproduce results, experiment with hardware, and contribute to open source

Required Skills:

  • Deep foundations in optimization, statistics, and linear algebra

  • Expertise in ML frameworks (ideally Py Torch) and strong software engineering skills

  • Experience building real-time or distributed ML systems

  • Curiosity, independence, and a track record of original contributions (research, open source, competitions, patents)

Compensation: $200,000–$300,000 base salary, equity package, and discretionary bonus

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Temporal

Temporal

Temporal

Series B

Temporal is an open-source workflow orchestration platform that enables developers to build reliable distributed applications and microservices.

51-200

Employees

Bellevue

Headquarters

$1.5B

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

4.3

Career

4.5

Management

3.5

85%

Recommend to a Friend

Pros

Good work environment and team culture

Career growth and learning opportunities

Company stability and job security

Cons

Threat of unjustified dismissal

Management issues

Limited negative feedback available

Interview Experience

6 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Recruiter Outreach

2

System Design Interview

3

Case Study Interview

4

Three Interviews

5

In-Person Interview

6

SQL Assessment

Common Questions

System Design

Case Study

SQL Assessment