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Full-Time

Staff Machine Learning Operations Engineer

Aqmed

Confirmed live in the last 24 hours

SandboxAQ

SandboxAQ

201-500 employees

AI and quantum technology solutions provider

Data & Analytics
Cybersecurity
AI & Machine Learning

Compensation Overview

$188k - $309kAnnually

+ Bonus + Equity

Senior, Expert

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
AWS
Requirements
  • 7+ years of experience in AWS, MLOps, and AI/ML
  • You understand Deep Learning and Machine Learning well enough to help deploy, maintain, and monitor models in production environments.
Responsibilities
  • 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.
  • 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

SandboxAQ focuses on using Artificial Intelligence and Quantum technologies to address significant societal challenges. Their offerings include crypto-agile security, quantum sensing, and quantum simulation and optimization, which help organizations stay ahead of the curve as quantum computing evolves. By collaborating with top professional services firms, SandboxAQ assists clients in implementing these advanced solutions to enhance security and foster innovation. What sets SandboxAQ apart from its competitors is its proactive approach in preparing businesses and governments for the future impact of quantum computing, ensuring they can maintain a competitive advantage. The company's goal is to help bridge the global digital divide by equipping organizations with the tools they need to thrive in a rapidly changing technological landscape.

Company Stage

Series D

Total Funding

$2B

Headquarters

Mountain View, California

Founded

2021

Growth & Insights
Headcount

6 month growth

17%

1 year growth

69%

2 year growth

246%
Simplify Jobs

Simplify's Take

What believers are saying

  • SandboxAQ's innovative AQNav system addresses critical issues like GPS denial and spoofing, showcasing their potential for real-world impact.
  • The company's AQtive Guard platform has already proven effective in identifying security vulnerabilities, as demonstrated by its deployment with SoftBank.
  • High-profile hires like Chris Bates as CISO indicate strong leadership and a commitment to enhancing cybersecurity offerings.

What critics are saying

  • The nascent state of quantum computing means that widespread adoption of SandboxAQ's solutions may be slower than anticipated.
  • The complexity of integrating AI and quantum technologies could pose significant technical challenges and require substantial R&D investment.

What makes SandboxAQ unique

  • SandboxAQ uniquely combines AI and quantum technologies to offer solutions like crypto-agile security and quantum sensing, setting it apart from competitors focused solely on one technology.
  • Their proactive approach in preparing organizations for the quantum computing era provides a significant competitive edge before the technology becomes mainstream.
  • Partnerships with leading professional services organizations and government bodies, such as the Tony Blair Institute, enhance their credibility and reach.