Systems/ML Engineer III

Ursus; New York (NY); Remote; Full time

Job summary

A leading technology company seeks a Systems/ML Engineer III to join their Fundamental AI Research team. The role involves developing deep learning libraries and collaborating with interdisciplinary teams to advance AI research. Candidates should have strong experience in machine learning and software development.

Benefits

Medical

Dental

Vision

Commuter benefits

401K with company matching

Qualifications

• 5+ years of experience with deep learning.
• Experience developing ML algorithms in Python or C/C++.

Responsibilities

• Engineer, design, implement, and improve scalable ML systems.
• Write clean, robust machine learning code.
• Integrate latest research into products.

Skills

Knowledge of LLM architectures

Pytorch

Machine Learning

Python

Education

Degree in Computer Science

Degree in Computer Engineering

Job description

Job Title: Systems/ML Engineer III

Location: 100% Remote, EST preferred

Duration: 12 months with possible extension

Pay Range: $82-92/hour

Top 3 Skills:

• Knowledge of LLM architectures
• Experience implementing ML pipelines
• Pytorch proficiency, large-scale distributed GPU training, LLM finetuning

Company:

Our client is a Fortune 500 multi-national technology company headquartered in Menlo Park, CA.

Job Description:

We are seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.

Responsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high-quality code and reproducible results for the community, and integrating the latest research into our products to connect billions of users. The selected candidate will collaborate with a diverse, interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities.

Responsibilities:

1. Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research.
2. Apply knowledge of relevant research domains and expert coding skills to platform and framework development projects.
3. Write clean, robust machine learning code.

Minimum Qualifications:

• Degree in Computer Science, Computer Engineering, or a relevant technical field.
• 5+ years of experience with deep learning.
• Experience developing machine learning algorithms or infrastructure in Python or C/C++.

Preferred Qualifications:

• Demonstrated software engineering experience through work, coding competitions, or contributions to open-source repositories (e.g., GitHub).
• Experience in open-source development.

Top 3 Skill Sets:

• Pytorch
• Machine Learning
• Python

Nice to Have:

• Building open-source libraries for machine learning.
• Distributed training for ML models.
• Experience with machine learning research and publishing papers.
• Experience with Python backends and APIs.
• Experience in software design and development.

Benefits Summary:

Compensation is determined by skills, qualifications, experience, and location. Full-time roles include Medical, Dental, Vision, Commuter, and 401K benefits with company matching.

Job ID: IND123