- Location: Bell Gardens, California
- Type: Contract
- Job #106985
Job Title: Software Engineer I
Location: United States
Job Type:
Full-time, 1-year, On-Going Contract, W2
Schedule: Monday - Friday, Remote, EST preferred
Pay Range: $52.95 - $62.00 per hour
We're excited to connect with recent graduates and early-career professionals who are passionate about Machine Learning and AI. This role is ideal for candidates with a degree in Machine Learning, Artificial Intelligence, Computer Science, Computer Engineering, or a related field, along with up to 1 year of professional experience. Internship, research, academic project, and open-source experience are highly valued.
Job Description: Key Responsibilities - Engineer, design, implement, and improve machine learning systems and tools that enable AI research.
- Develop platform and framework solutions that support research teams throughout the machine learning lifecycle.
- Collaborate with scientists, engineers, and cross-functional partners to support model training, data collection, evaluation, and research deployment.
- Contribute code across the full development lifecycle, from experimentation through production-ready implementation.
- Troubleshoot machine learning systems, infrastructure, and research workflows.
- Write clean, scalable, and robust code that supports research initiatives and product integration.
Requirements - Experience developing machine learning algorithms or machine learning infrastructure.
- Proficiency in Python and PyTorch and/or C/C++.
- Exposure to deep learning environments supporting AI/ML model development.
- Strong software engineering fundamentals with the ability to produce maintainable, high-quality code.
- Ability to work effectively within highly collaborative and interdisciplinary technical teams.
Preferred Qualifications - Demonstrated software engineering accomplishments through professional experience, coding competitions, personal projects, or open-source contributions.
- Experience contributing to publicly available repositories or widely used GitHub projects.
- Exposure to large-scale machine learning frameworks or research environments.
- Advanced degree in a related technical discipline is a plus.
Skills - Machine Learning Infrastructure
- Data Collection & Evaluation
- Debugging & Troubleshooting
Education - Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required.
- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field preferred.
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