Research Engineer, Tokens (Pre-training)

Freddie Mac; San Francisco (CA); Hybrid; USD 150,000 - 425,000; Full time

Job summary

A leading company in AI research is seeking a skilled software engineer to develop and optimize large-scale machine learning systems. This role offers a hybrid work environment, generous benefits, and opportunities for career advancement. Join a collaborative team focused on impactful AI research and make a difference in the field.

Benefits

Flexible working hours

Generous vacation and parental leave benefits

Visa sponsorship available

Qualifications

• Significant software engineering experience.
• Interest in machine learning research.

Responsibilities

• Develop and optimize large-scale machine learning systems.
• Improve infrastructure reliability for scientific experiments.
• Participate in pair programming and team collaborations.

Skills

Collaboration

Results-oriented

Flexibility

Education

Bachelor's degree in a related field

Tools

Kubernetes

Pytorch

Job description

Employer Industry: AI Research and Development

Why consider this job opportunity:
- Salary up to $425,000 USD
- Opportunity for career advancement and growth within the organization
- Flexible working hours with a hybrid work policy
- Supportive and collaborative work environment focused on impactful AI research
- Visa sponsorship available for qualified candidates
- Generous vacation and parental leave benefits

What to Expect (Job Responsibilities):
- Develop and optimize large-scale machine learning systems from the ground up
- Improve infrastructure reliability and enhance throughput for scientific experiments
- Write code within the context of ongoing research projects
- Participate in pair programming and team collaborations
- Design and implement fault tolerance strategies for distributed training jobs

What is Required (Qualifications):
- Minimum educational requirement: Bachelor's degree in a related field or equivalent experience
- Significant software engineering experience
- Strong results-oriented mindset with a bias toward flexibility and impact
- Ability to work collaboratively and pick up tasks beyond the standard job description
- Interest in machine learning research and its societal implications

How to Stand Out (Preferred Qualifications):
- Experience with high-performance, large-scale machine learning systems
- Familiarity with GPUs, Kubernetes, Pytorch, or operating system internals
- Knowledge of language modeling with transformers and reinforcement learning
- Background in large-scale ETL processes
- Experience with creating interactive visualizations of machine learning outputs

#AIResearch #MachineLearning #SoftwareEngineering #CareerOpportunity #FlexibleWorkEnvironment

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