The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics.
Our Robotics team builds the critical infrastructure that empowers the most sophisticated robotic efforts. We are currently seeking a strategic MLSE to join our team and make a direct impact on our platform’s success.
As a Machine Learning Solutions Engineer, you'll be a trusted technical partner to the world's most innovative Foundation Model builders and renowned robotics companies. You will partner closely with Product, Sales, and ML Engineers to guide prospective customers through the pre-sales process, delivering customized demos and Proof of Concepts that secure the "technical win" as well as being a critical role in the strategy shaping of our next generation of products covering the full E2E process from data collection to deployments.
You’ll help customers bridge the gap from demos to real-world deployment in production by defining technical requirements for multi-modal real-world data pipelines (from data collection, curation, training to deploying models at customer sites and evaluating the performance). You'll develop actionable Statements of Work and collaborate with the delivery team on high-fidelity ground truth implementation. Your expert knowledge of Scale's products will allow you to design creative, impactful solutions.
This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.
In this role, you will:
Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights and help implementing and developing PoC’s
Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
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Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision and other autonomy-adjacent concepts
Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
Evangelize Scale by interacting with customers at major industry events and academic conferences.
You have:
PhD in Robotics, or an M.S. in Robotics with a strong track record of deploying VLAs to production.
3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
A high level of comfort communicating effectively across internal and external organizations.
Regular travel within the Bay Area.
International travel approximately once every three months.
Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.
Bonus points if you have:
Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$180,000—$225,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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