Member of Technical Staff - Model Engineer at MLabs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

300000.0

Posted On

14 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Machine Learning Engineering, Python, Neural Networks, Data Cleaning, Pipeline Building, Model Evaluation, Benchmarking, Fine-Tuning, PyTorch, Large Language Models, Entrepreneurial Spirit

Industry

IT Services and IT Consulting

Description

Member of Technical Staff - Model Engineer Full-time | On-site Location: San Francisco We are seeking a founding Member of Technical Staff to join our core AI team and drive the modernization of a foundational global industry. This role offers the chance to work directly with the company's founders to define the technical direction and build AI from the ground up, combining hardware, software, and operations. As a Model Engineer, you will be deeply involved in the entire lifecycle of model development, from research and data preparation to production deployment in real-world systems. You will play a crucial role in building the AI capabilities that enable a vertically integrated infrastructure platform. What you'll do: Train end-to-end models for mission-critical applications like fault prediction, network state modeling, and autonomous repair. Develop multi-modal models over structured domain data, implementing function-calling capabilities for real-time network decisions. Build data cleaning and pipeline infrastructure necessary to support model development and scaling. Rigorously evaluate and benchmark model performance over both physical hardware and virtualized testing environments. Collaborate directly with founders to set technical direction, define the long-term AI vision, and shape the core team culture. Ship models into production networks and work closely with firmware and application teams to ensure seamless integration and performance. Be a technical leader in the effort to modernize the industry through cutting-edge AI. The ideal candidate possesses a strong foundation in machine learning engineering, a bias for action, and an entrepreneurial mindset. 2+ years of post-academic experience in building, training, and scaling neural networks from the ground up. Strong background in Python and ML coding, with expert-level proficiency in frameworks like PyTorch. Demonstrated comfort with the full model development lifecycle, including data cleaning, pipeline building, evaluation, benchmarking, and fine-tuning. Experience with Neural Networks and general Machine Learning principles. We are open to PhD dropouts/graduates with top industry internships or significant startup experience. Bonus points if you have experience training Large Language Models (LLMs) and possess an entrepreneurial spirit (e.g., from founding a startup). Work Policy: This is an on-site role based in our San Francisco office, requiring a minimum of three days a week in the office to foster a collaborative, mission-driven environment. We offer a highly competitive and structured compensation package designed to attract and retain exceptional talent, with substantial long-term growth potential. Target Salary Range: $200,000 - $300,000 (Base Salary). Total Compensation: A highly competitive package that includes a base salary and significant equity. Total compensation is benchmarked against leading AI companies. Equity: We offer real ownership. Our equity grants have the potential for substantial growth, with projections of 10-15x multiples over the next four years. For exceptional talent, the initial equity grant has the potential to be worth $15M+ based on projected growth. Flexibility: We are flexible and can adjust the cash/equity split for the right candidate, and there is no strict cap for exceptional talent. Relocation/Visa Support: Visa sponsorship is available, and we work with an excellent law firm to facilitate the process. 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. 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 human-resources@mlabs.city. 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 legal@mlabs.city.

Responsibilities

As a Model Engineer, you will be involved in the entire lifecycle of model development, from research and data preparation to production deployment. You will train end-to-end models for mission-critical applications and collaborate with founders to set the technical direction.