Senior Research Engineer
Spectraforce
New York, New York
an hour ago
Job Description
Job Title: Senior Research Engineer
Duration: 12 Months (possibility for extension)
Location: Remote (Ideally EST, but anywhere in NORAM should work)
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 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
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
Degrees/Certifications Required: Computer Science / Engineering
How many rounds of interviews? 1-2 rounds
Types of Interviews Combination of codepad and behavioral
Interview Duration 45 minutes
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: $ 95.00/hr.
Duration: 12 Months (possibility for extension)
Location: Remote (Ideally EST, but anywhere in NORAM should work)
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 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
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
Degrees/Certifications Required: Computer Science / Engineering
How many rounds of interviews? 1-2 rounds
Types of Interviews Combination of codepad and behavioral
Interview Duration 45 minutes
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: $ 95.00/hr.