Job Title: Software Engineer III - Senior Research Engineer Location: Remote Duration: 1 year, possibility for extension
Job Description:Position: Senior Research Engineer
Client is seeking a strong Senior 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 client’s 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
Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
Write clean and robust machine learning code
Contribute to open-source projects
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++
Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP
Experience working with large datasets and data pipelines
Solid understanding of algorithms, data structures, and software engineering best practices
Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment
Excellent problem-solving and communication skills
Preferred Qualifications:
Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g., GitHub)
Prior contributions to open-source AI/ML projects
What makes this role interesting:
This is working on cutting-edge Machine Learning training and inference code to create State of the Art research models. It’s working with leading researchers in the field.
Value added or experience gained:
Cutting edge distributed training for creating state of the art ML models.
Must-Have HARD Skills (Tangible skills we can pick out on the resume):
5-10 years of Python experience
3-5 years of PyTorch experience
5+ years of Distributed ML Training (FSDP/DDP) experience
3-5 years of Dataset / PyTorch DataLoader experience
Nice-to-have Skills:
Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g., GitHub)
Prior contributions to open-source AI/ML projects
Years of Experience:
5-10 years
Degrees/Certifications Required:
Computer Science / Engineering
Candidate Disqualifiers:
Pure software engineers will not be a good fit. Experience with large scale model training with PyTorch is essential.
Difficult Aspects of Job
Strong technical and communication skills will be needed to succeed in a fast-paced and ambiguous environment.
Interview Process: How many rounds of interviews? Who will be conducting each round:
1-2.
Types of Interviews (behavioral, technical, presentation, etc.):
Mostly technical: experience with distributed training. How DDP/FSDP works, what are different parallelism techniques to scale models, what are their tradeoffs, which one would you use in which case, some back of the envelope calculation of memory/throughput requirements, so on.
Interview Duration: 1 hr Focus Areas: PyTorch, model training, distributed model training, PyTorch APIs, C++ programming
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 100.00/daily.
