Machine Learning Engineer
Job Location:
Job Location:
San Mateo, CA - USA
Monthly Salary:
$ 110000 - 165000
Monthly Salary:
Posted on:
13 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Machine Learning Engineer / Research Engineer
Pay: $$110000 $165000 Base Salary Equity
Shift: N/A
Location: San Mateo CA (Peninsula) Onsite Preferred
Schedule: Full time Permanent Role
Visa Sponsorship:Not Available
Relocation Assistance:Not Available
Role Summary
We are looking for a highly skilled Machine Learning Engineer / Research Engineer to join our founding team and help develop intelligent systems that transform how hardware and mechanical engineers design products.
This is a unique opportunity to work at the intersection of cutting-edge machine learning research and real-world engineering applications. Youll collaborate directly with founders engineers and customers to design train deploy and continuously improve machine learning systems that accelerate CAD workflows and hardware design.
As one of the earliest ML hires you will have significant ownership over technical direction architecture decisions and the long-term evolution of our AI platform.
Key Responsibilities
Machine Learning Research & Development
Skills & Qualifications
Machine Learning Expertise
HRforGrowthis an extension of the Growth Catalyst Group (GCG) a partnership of companies with more than 65 years of operating experience and a history of successfully serving customers across industries and disciplines.
GCG is one of the worlds leading providers of business transformation solutions related to supply chain and technology solutions for order fulfillment and marketing execution. We are committed to an inclusive workplace that does not discriminate against racenationality religion age marital status physical or mental disability sexual orientation gender orgender identity. We believe in diversity and encourage anyqualifiedindividual to apply. We are an EEOCEmployer.
Pay: $$110000 $165000 Base Salary Equity
Shift: N/A
Location: San Mateo CA (Peninsula) Onsite Preferred
Schedule: Full time Permanent Role
Visa Sponsorship:Not Available
Relocation Assistance:Not Available
Role Summary
We are looking for a highly skilled Machine Learning Engineer / Research Engineer to join our founding team and help develop intelligent systems that transform how hardware and mechanical engineers design products.
This is a unique opportunity to work at the intersection of cutting-edge machine learning research and real-world engineering applications. Youll collaborate directly with founders engineers and customers to design train deploy and continuously improve machine learning systems that accelerate CAD workflows and hardware design.
As one of the earliest ML hires you will have significant ownership over technical direction architecture decisions and the long-term evolution of our AI platform.
Key Responsibilities
Machine Learning Research & Development
- Design train and optimize custom deep learning models that understand CAD workflows and generate intelligent next-step design recommendations.
- Develop novel machine learning approaches for geometry design and engineering-related datasets.
- Evaluate emerging research in areas such as sequence modeling geometric deep learning representation learning and foundation models.
- Build and maintain scalable Python-based training evaluation and experimentation pipelines.
- Transform complex real-world CAD and geometry data into high-quality training datasets and signals.
- Implement robust offline and online evaluation frameworks to measure model performance and business impact.
- Own the complete ML lifecycle from research and prototyping through deployment monitoring and optimization.
- Architect model-serving infrastructure and backend components that enable fast reliable integration into CAD environments.
- Establish best practices for experimentation logging model versioning and performance monitoring.
- Work closely with founders mechanical engineers hardware engineers and early customers to understand workflows and translate them into ML solutions.
- Collaborate with backend engineers on APIs infrastructure data models and platform scalability.
- Help define the long-term strategy for applying machine learning to hardware and CAD design.
Skills & Qualifications
Machine Learning Expertise
- 4 years of hands-on machine learning experience in industry research or a combination of both.
- Equivalent Masters or PhD research experience will be considered.
- Demonstrated success designing training improving and deploying machine learning modelsnot simply utilizing hosted AI APIs.
- Expert-level proficiency with PyTorch (preferred) or similar frameworks such as TensorFlow or JAX.
- Experience implementing custom architectures loss functions optimization methods and training loops.
- Strong understanding of model evaluation experimentation and performance trade-offs.
- Strong Python programming skills with experience building production-ready systems.
- Ability to write clean maintainable and well-tested code with appropriate documentation and abstractions.
- Experience developing scalable ML infrastructure and backend services.
- Proven ability to independently drive projects from concept through deployment.
- Experience building end-to-end ML systems including data pipelines experimentation frameworks model training deployment and monitoring.
- Comfortable solving ambiguous open-ended technical problems.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Experience working cross-functionally with engineers product teams researchers and customers.
- Thrives in fast-paced high-ownership environments.
- Comfortable wearing multiple hats across machine learning research backend engineering and infrastructure.
- Published research papers or meaningful open-source contributions demonstrating novel technical work.
- Experience with:
- CAD systems and workflows
- Computational geometry
- Computer graphics
- 3D representations
- Robotics
- Familiarity with cloud ML infrastructure (AWS GCP).
- Experience with backend frameworks such as FastAPI Flask or Django.
- Must be based in the United States and possess valid work authorization.
- Strong proficiency in Python and modern deep learning frameworks (PyTorch preferred).
- Demonstrated experience building and deploying custom machine learning models from scratch.
- Experience designing architectures creating training pipelines and shipping ML features to production.
- Minimum 4 years of relevant industry or equivalent academic experience.
- Competitive salary ($110000 $175000)
- Meaningful equity ownership
- Comprehensive medical dental and vision insurance
- Catered team lunches at the San Mateo office
- Unlimited/flexible paid time off
- High-impact role within a YC-backed startup
- Direct collaboration with experienced founders and engineers
- Significant opportunities for growth learning and career advancement
- Opportunity to help define the future of AI-powered CAD and hardware design
HRforGrowthis an extension of the Growth Catalyst Group (GCG) a partnership of companies with more than 65 years of operating experience and a history of successfully serving customers across industries and disciplines.
GCG is one of the worlds leading providers of business transformation solutions related to supply chain and technology solutions for order fulfillment and marketing execution. We are committed to an inclusive workplace that does not discriminate against racenationality religion age marital status physical or mental disability sexual orientation gender orgender identity. We believe in diversity and encourage anyqualifiedindividual to apply. We are an EEOCEmployer.
Required Experience:
Senior IC
About Company
Advatix is an efficient team of Supply Chain Experts with extensive experience in Fulfillment, logistics and global operations to help you in scaling business profitability.
