Payrate: $90.00 - $108.00/hr.
Summary:
We are looking for a Candidate with a research engineering skillset to spearhead code improvement initiatives. The ideal candidate should possess a robust background in software development, particularly in Python, Deep Learning (DL) theoretical knowledge, experience training big DL models, and code optimization. This includes continuous integration and testing, experience with GPU coding, PyTorch, and backend ML systems. Our team focuses on transforming DL research codebases into product-ready states. The successful candidate will primarily code in Python. While experience with backend systems and managing large codebases is beneficial, it is not mandatory.
Responsibilities:
- Codebase migrations
- Enhancing code quality
- Increasing test coverage through unit and integration testing
- Code refactoring
- Optimizing backend workflow orchestration
- Additional engineering tasks such as setting up dashboards and alerts, and assisting with on-call workloads
- Interact with scalable and distributed training algorithms and efficient data loading for large scale deep learning
- Collaborate with both research and maturation teams to push research to products
- Most of the tasks detailed would be performed on DL pipelines
Years of Experience:- 6 years’ experience with Python and source control
- 3 years’ on PyTorch and DL
Must-Have Skills:- 6 years of experience in Python, especially with large codebases, preferably in Big Tech or mid-to-large companies
- Experience in training big deep learning models with PyTorch
- Proficiency in continuous integration and testing
- Knowledge of code optimization techniques
- Familiarity with GPU coding and backend ML systems (a plus)
- Strong problem-solving skills and attention to detail, with the ability to independently overcome technical roadblocks
- Experience working collaboratively and communicating effectively across functional teams
- Capability to work independently and within a team
Nice-to-Have Skills:- Experience in maturing machine learning systems, such as defining evaluation metrics , building evaluation systems, scaling up pipelines and tooling
- Experience in creating and maintaining public projects (e.g., GitHub)
- Code Optimization (CPU and GPU), GPU Coding
Pay Transparency: The typical base pay for this role across the U.S. is: $90.00 - $108.00//hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy policy).
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.
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