Software Engineering - Software Engineer II

Apex Systems; Menlo Park (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Employee Stock Purchase Program

401(k) With Company Match

Health Savings Account

Employee Assistance Program

Corporate Discounts

Training and Development Resources

Certification Preparation andDiscounts

Career Coaching

Job summary

Apex Systems is seeking a research-focused ML engineer in Menlo Park, CA to advance machine learning systems and scale models for large language models in a collaborative environment. You will work with researchers and engineering partners, communicate results, shape feature roadmaps, and contribute code and research that informs product development.

The role requires a BS in CS/CE or related field, 2+ years of ML experience, and practical skills in Python and PyTorch, with experience running

Qualifications

• Bachelor's degree in computer science, computer engineering, a related technical field, or equivalent practical experience.
• 2+ years hands-on experience in machine learning or a related area.
• Experience developing ML models at scale, querying and post-training LLMs, using Python and PyTorch, running complex experiments, translating technical insights into business recommendations.

Responsibilities

• Conduct research to advance machine learning systems and develop methods, tools, and infrastructure for large language models.
• Collaborate with researchers and engineering partners, communicate research findings, shape feature roadmaps, and contribute code and research that informs product development.

Skills

Python

PyTorch

Large Language Models

Machine Learning Systems

Model Development at Scale

Post-Training

Data Mining

Pattern Recognition

Research Communication

Feature Roadmapping

Translating Technical Insights into BI

Education

Bachelor's degree in CS/CE or related field

Job description

Conduct research to advance machine learning systems and develop methods, tools, and infrastructure for large language models. Collaborate with researchers and engineering partners, communicate research findings, shape feature roadmaps, and contribute code and research that informs product development.

Requirements: Requires a bachelor's degree in computer science, computer engineering, a related technical field, or equivalent practical experience, plus at least two years of hands-on experience in machine learning or a related area. Candidates must have experience developing machine learning models at scale, querying and post-training large language models, using Python and PyTorch, running complex experiments, and translating technical insights into business recommendations.

Key Skills: Machine Learning, Large Language Models, Python, PyTorch, Generative Artificial Intelligence, Machine Learning Systems, Model Development at Scale, Post-Training, Large-Scale Experiments, Data Mining, Recommendation Systems, Pattern Recognition, Research Communication, Requirements Synthesis, Feature Roadmapping, Translating Technical Insights into Business Recommendations

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Insurance, Employee Stock Purchase Program, 401(k) With Company Match, Health Savings Account, Employee Assistance Program, Corporate Discounts, Training and Development Resources, Certification Preparation and Discounts, Career Coaching