Software Engineering - Software Engineer I at Scalence L.L.C. in Remote, CA
- Company: Scalence L.L.C.
- Location: Remote, CA
- Posted: Sep 20, 2026
- Type: Contract
- Salary: $58.00-$73.33 per hour; Ideal range: $60-70/hr. on W2
- Experience: 1+ years
Overview
Title: Software Engineer I (72988-1) Duration: 12+ months (high possibility of extension) Pay Rate: Negotiable based on experience, Ideal range: $60-70/hr. on W2 Role Overview: Client is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organizat…
Job description
- Title: Software Engineer I (72988-1)
- Duration: 12+ months (high possibility of extension)
- Pay Rate: Negotiable based on experience, Ideal range: $60-70/hr. on W2
- Role Overview: Client is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Responsibilities include working with deep learning codebases that support training cutting-edge AI/ML models, creating high-quality results, and bringing the latest research advancements to Meta 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 cutting-edge 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.
Requirements
- Must-Have Skills
- 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models.
- Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++.
- Core Education: Degree in Computer Science, Computer Engineering, or a relevant technical field.
- Nice-to-Have Skills
- Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open source/GitHub contributions.
- Years of Experience: 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models.
- Bachelor Degree in Computer Science, Computer Engineering, or relevant technical field.
- PhD or advanced degree preferred.
Skills
Required
- Proficiency in ML Development