Junior AI/ML Engineer
Volt Information Sciences Inc
San Diego, United States of America
9 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Junior Compensation
$ 100KJob location
San Diego, United States of America
Tech stack
API
Artificial Intelligence
Unit Testing
Continuous Integration
Python
NumPy
Rapid Prototyping Process
TensorFlow
Search Technologies
Software Construction
Software Engineering
PyTorch
Large Language Models
Software Application Programming
GIT
Pandas
Integration Tests
Data Pipelines
Job description
As a Junior AI/ML Engineer, you will assist with:
- Prototype and deliver generative AI and ML features that speed up engineering workflows and further development of our digital platform. This role emphasizes "vibe coding": rapid, AI-assisted iteration (copilots/code chat) with disciplined habits-small pull requests, quick feedback, and tests that keep prototypes safe as they mature.
- Rapid prototyping ("vibe coding"): Build applications with AI-assisted coding tools, notebooks, and lightweight services; iterate in short cycles with frequent demos and feedback.
- LLM features: Implement and test use cases like search, summarization, and Q&A over documents/logs with guidance from senior team members.
- Integration: Package models into APIs/pipelines, work in a small-PR workflow, add unit/integration tests, and support deployment.
This is a full-time - long term temporary opportunity. The role will be on-site at the San Diego Facility.
Schedule: Monday - Friday - 8am - 5pm.
Requirements
Do you have experience in Unit testing?, * Bachelor's degree in CS, Data Science, Mechanical Engineering, or related (or equivalent practical experience).
- 1-2 years of experience (internships, co-ops, research, or early-career roles) building software, data pipelines, or ML prototypes.
- Python proficiency with common data tools (Pandas/NumPy) and baseline software engineering practices (testing, readability).
- ML fundamentals and strong interest in generative AI/LLMs (evaluation, failure modes, responsible use).
- Exposure to PyTorch/TensorFlow or modern LLM tooling (Transformers, RAG/vector search libraries).
- Comfortable using Git and collaborating via pull requests.
Preferred Skills:
- AI-assisted prototyping ("vibe coding"): fast iteration with copilots/code chat, backed by tests, reviews, and lightweight evaluation.
- Good AI-tool hygiene: write clear prompts, review diffs critically, and protect sensitive data.
- Nice to have: RAG/embeddings and basic cloud/CI/CD exposure.
Benefits & conditions
Pulled from the full job description
- AD&D insurance
- 401(k)
- Vision insurance
- Dental insurance
- Employee assistance program