Machine Learning Engineer (Egocentric 3D Human Pose)

Maxinsights Corporation; Santa Clara (CA); On-site; USD 125,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Career growth

Collaborative culture

Job summary

MaxInsights is seeking a Machine Learning Engineer in Santa Clara to join our core team building scalable ML systems for perception and embodied AI. You will work across data collection, training, evaluation, and deployment, turning raw data into production-ready models.

The role emphasizes collaboration with researchers, engineers, and product teams; requires 3+ years in ML, strong Python and deep learning framework skills, and a passion for delivering robust, real-world solutions.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field.
• 3+ years of experience building and shipping ML systems.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience with production-oriented ML pipelines.
• Strong problem-solving in fast-paced environments.

Responsibilities

• Design, build, and own end-to-end ML systems on large-scale data.
• Apply state-of-the-art ML techniques to new domains and optimize models/pipelines for production.
• Drive measurable improvements in model performance, robustness, and product capabilities.
• Collaborate with researchers, engineers, and product teams to translate ideas into scalable ML solutions.
• Contribute to technical design and long-term ML platform direction.

Skills

Python

Deep learning

Distributed systems

Model deployment

Education

Bachelor’s/Master’s/PhD in CS/ML or related field

Tools

PyTorch

TensorFlow

Job description

Machine Learning Engineer

Location: Santa Clara

Full Time

The Role

We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence.

In this role, you will work on end-to-end machine learning systems, spanning data collection, model training, evaluation, and deployment. You will collaborate closely with researchers, engineers and product teams to turn complex real-world data into robust, production-ready ML solutions.

This role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems.

Responsibilities

• Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data.
• Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments.
• Drive measurable improvements in model performance, system robustness, and product capabilities through applied machine learning.
• Collaborate closely with cross-functional teams to translate research ideas and product requirements into scalable ML solutions.
• Contribute to technical design, code quality, and best practices, and help shape the long‑term direction of the company’s machine learning platform.

Minimum Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• 3+ years of experience building and shipping machine learning systems.
• Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow).
• Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines.
• Strong problem‑solving skills and ability to work effectively in a fast‑moving, collaborative environment.

Preferred Qualifications

• PhD in a relevant field with a research focus in robot learning, embodied AI, or visual perception.
• Experience with end‑to‑end ML systems, including data collection, training, inference, and deployment.
• Background in computer vision, perception, or multi‑modal machine learning, including egocentric or human‑centric perception.
• Familiarity with large‑scale training, experimentation infrastructure, or production ML systems.
• Ability and interest in learning new problem domains, data modalities, and ML techniques quickly.
• Publication(s) in leading venues, open‑source contributions, or demonstrated impact in applied ML or AI systems.

What We Offer

• Opportunity to work on challenging, high‑impact projects that define the future of robotics and embodied AI.
• A collaborative, innovative, and fast‑paced work environment.
• Competitive salary and options package.
• A clear path for career growth in technical leadership.
• Direct collaboration with leading experts in the field of robotics and AI.

MaxInsights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.