Member of Technical Staff - Model Engineer
Location: San Francisco, CA
Employment Type: Full-time
Work Arrangement: On-site (minimum 3 days per week)
About the Role
Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.
You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.
What You'll Do
- Train end-to-end models for fault prediction, network state modeling, and autonomous repair.
- Build multi-modal models over structured networking data, implementing function-calling for network decisions.
- Evaluate model performance over real-world hardware and virtualized environments.
- Ship models into production networks, collaborating closely with firmware and application teams.
- Work directly with founders to define modeling approaches and set the technical direction for the entire AI effort.
- 2+ years of post-academic experience in model development.
- Experience building, training, and scaling neural networks from the ground up.
- Strong background in Python and ML coding (PyTorch).
- Comfortable with the full model lifecycle, including data cleaning, pipeline building, evaluation, and fine-tuning.
- Bonus points: Experience training large language models (LLMs) and/or an entrepreneurial background (founding a startup).
- Open to PhD dropouts/graduates with top industry internships or startup experience.
- Salary: $200K - $300K (Base salary).
- Equity: Significant equity designed to be highly competitive. At the current Series C valuation of $1.2 billion, the initial grant is designed to be worth approximately $200K$-$300$K annually, with potential for substantial growth ($10$-$-15$x multiples projected over four years).
- Total Compensation: Highly competitive, with flexibility to adjust the cash/equity split. There is no strict cap for exceptional talent.
- Visa Sponsorship: Available and facilitated by a dedicated law firm.
- Work Policy: On-site in the San Francisco office (minimum three days a week).
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
About MLabs
MLabs is a full-stack software consultancy working with leading blockchain, AI, and tech startups worldwide. We’re supporting this client with their hiring, and you’ll be joining their team directly.
👉 Apply now to be part of one of the most exciting AI startups in San Francisco.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
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