Software Engineering

Job Description: Remote role, ideally EST, buy anywhere in NORAM works.
No set rate
5-10 years of experience.
Computer Science / Engineering degree.

Refresh of request 60754-1. See notes on the old request:
Resume feedback: The resumes were more focussed on deploying AI/ML solutions or maybe some fine-tuning vs training a large-scale model from scratch.
Make sure resumes are detailed in the experience we're looking for, provideing specific repository names or links to projects. This will help candidates stand out.
Interview feedback: There were a large volume of candidates who were suspected of using AI assistance during their interview. Make sure to screen this out of candidates, and let them know that if AI assistance is suspected, they will be automatically disqualified.
Main winning points of the candidate we offered were his knowledge of a wide variety model architectures and his experience with profiling tools and low-level kernel debugging. The winning candidate's resume showcased a good knowledge of GPU and distributed systems, as well as acceleration, and the candidate provided clear and detailed descriptions of past projects.

Here's what we need: Knowledge of LLM architectures. Experience implementing ML pipelines, Pytorch proficiency, large-scale distributed GPU training, LLM finetuning.

Job Description: Systems / ML Engineer
Meta is 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 bringing the latest research to Meta products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Responsibilities
Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research
pply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
Write clean and robust machine learning code
Minimum Qualifications
Degree in Computer Science, Computer Engineering or relevant technical field
5+ years experience with deep learning
Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C
Preferred Qualifications
Demonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience in open-source development

Reason for request: New position

Flexible hours but a total of 40 hours each week - just needs to get the weekly full time in
- OT: NOOT- 40 hours

Top 3 Skill Sets:
Pytorch
Machine Learning
Python

Top 3 Nice to Have:
Building Open Source Libraries for Machine Learning
Distributed training for ML models
Experience with Machine Learning Research, publishing papers
Experience with python backends and APIs
Experience in software design and development

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Comments for Suppliers: Refresh of request 60754-1. See notes on the old request:
Resume feedback: The resumes were more focussed on deploying AI/ML solutions or maybe some fine-tuning vs training a large-scale model from scratch.
Make sure resumes are detailed in the experience we're looking for, provideing specific repository names or links to projects. This will help candidates stand out.
Interview feedback: There were a large volume of candidates who were suspected of using AI assistance during their interview. Make sure to screen this out of candidates, and let them know that if AI assistance is suspected, they will be automatically disqualified.
Main winning points of the candidate we offered were his knowledge of a wide variety model architectures and his experience with profiling tools and low-level kernel debugging. The winning candidate's resume showcased a good knowledge of GPU and distributed systems, as well as acceleration, and the candidate provided clear and detailed descriptions of past projects.

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."