Our Client, an Internet Content & Information company, is looking for a Senior Software Engineer (SWE V) - Code Improvement Initiatives for their Pittsburgh, PA/Burlingame, CA/ Bellevue, WA/Remote location.
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
Requirements:- 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 communicate effectively across functional teams
- Capability to work independently and within a team
- 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
- 6+ years’ experience with Python and source control, 3+ years’ on PyTorch and DL
- Master's degree or higher in computer vision, machine learning, deep learning, or a related field
Why Should You Apply?- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.