Staff Machine Learning Operations Engineer, SandboxAQ
AQMed
AI and quantum computing solutions
Open for applications
AI and quantum computing solutions
201-500 employees
Open for applications
201-500 employees
Company mission
To develop commercial products for telecom, financial services, healthcare, federal government, computer security and other computationally-intesive sectors.
Role
Who you are
- You understand Deep Learning and Machine Learning well enough to help deploy, maintain, and monitor models in production environments
- You have 7+ years of experience in AWS, MLOps, and AI/ML, which allows you to make skillful recommendations about which services would be best to use for a given AI Product
- You thrive in a startup environment and are able to balance the need for speed with the desire to build solid, reliable software
- You know how to listen and communicate respectfully with key stakeholders to understand their requirements and collaboratively work through any mutual concerns, before finalizing an architectural decision
- You are a “doer” with communication skills; you know how to ask the right questions and how to talk to the key stakeholders, but once the product goals are clear, you implement rapidly and skillfully
- You love to learn about the latest evolutions in AI/ML, and you get a deep intrinsic reward from finally deploying these cutting-edge AI/ML models and monitoring their impact
What the job involves
- Sandbox AQ operates at the intersection of AI/ML and quantum, and you will provide the AI/ML and computational infrastructure backbone to enable a new generation of health technologies
- This includes the strategic architecting of data, computing, and ML infrastructure from prototype to production, as well as working with the research and product engineering teams to ensure that Sandbox SaaS products are always pushing the state of the art
- You will bring MLOps expertise to bear in making important architectural design decisions to ensure the resultant pipelines are scalable, robust, fault-tolerant, secure, and maintainable
- With your experience, you will provide guidance for AI/ML research scientists in following best practices around software engineering in order to facilitate production level code and an easier path to deployment
- Technical Leadership
- Make clear, well-researched, and experience-based architectural recommendations, which support the delivery of complex AI SAAS products to customers
- Analyze and communicate the critical trade-offs in competing architectural options, by articulating the impact on the product quality and scalability, technical complexity, timeline for delivery, and ongoing maintenance requirements
- Guide the AI/DS team toward continual improvement in fundamental engineering best practices
- Technical Implementation
- Build complex yet robust MLOps pipelines to support the delivery of AI SAAS products
- Provide experienced recommendations for the best AWS services to utilize for optimal MLOps pipeline delivery
- Implement systems to train existing Dl and ML models at scale, and iterate rapidly toward new AI/ML products
- Implement tools and methodologies that support solid data governance, including monitoring of traceability, data quality, data security, etcetera
- Conduct code reviews for more junior AI/ML scientists
Our take
Spun out from Alphabet in 2022, SandboxAQ is a company providing AI and quantum computing solutions. Using cybersecurity modules that are in line with the "third quantum revolution", SandboxAQ can migrate enterprises to a higher level of security through the use of this cutting-edge technology.
The company's approach enables cross-pollination in a range of fields, including physics, neuroscience, cryptography, and more - with products including an end-to-end crypto-agile security suite, and quantum sensing solutions. Impressively, SandboxAQ has already partnered with Deloitte and Ernst & Young (EY), as well as the US Air Force, to bring the its quantum tech to the market.
Looking forward, SandboxAQ plans to build further relationships across the public sector, to help situate the company as one of the most "battle-tested" quantum providers on the market. The company has raised significant funds that will accelerate further product development and improvements, focussing on its post-quantum cryptography software.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Dec 2024
$300m
LATE VC
Feb 2023
$500m
GROWTH EQUITY VC
Total funding: $900m
Company benefits
- Stock options
- Unlimated vacation (PTO) and flexible work culture
- Company-wide winter and summer breaks to unwind
- Best-in-class health plans: Medical, dental and orthodontics, and vision
- Family planning and fertility benefits
- Military leave
- 100% paid parental leave
- 401k with company matching
- Education stipends
- Financial wellness resources
Company HQ
Palo Alto, CA
Articles
Leadership
Jack Hindary
(CEO)Serial entrepreneur and Co-Founder of several tech companies. Is also the author of 'Quantum Computing: An Applied Approach', one of the leading textbooks used in the field.
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