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Full-Time

Machine Learning Scientific Software Engineer

Posted on 10/18/2024

SandboxAQ

SandboxAQ

201-500 employees

AI and quantum technology solutions provider

Cybersecurity
AI & Machine Learning

Compensation Overview

$163k - $225kAnnually

+ Bonus + Equity

Senior

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Software Engineering
Requirements
  • Post-graduate degree in a relevant scientific discipline (for example physics, chemistry, biology, or computer science)
  • At least 5 years professional experience implementing, training, and deploying modern deep learning architectures (e.g. transformers, diffusion models, graph neural networks)
  • Experience training on large datasets using distributed compute resources
  • Knowledge of best practices in MLOps and data engineering
  • Professional experience with pytorch-lightning and Weights & Biases (or comparable tools/frameworks)
  • Ability to rapidly write good quality code while not letting the perfect become the enemy of the good
  • Desire to work in a fast-paced, sometimes chaotic, team with diverse professional experiences and viewpoints
Responsibilities
  • Drive the full lifecycle of new scientific machine learning projects, including:
  • Architecture design, working alongside subject matter experts
  • Model implementation
  • Development of auditable datasets and data-preparation pipelines
  • Training and experimentation
  • Deployment of a productized capability
  • Read and apply current scientific and software-engineering/MLOps best practices literature
  • Maintain and extend existing scientific software packages
  • Work closely with the Engineering Team to build on top of the group’s cloud infrastructure
  • Work closely with the client-facing Drug Discovery Team to run mission-critical computational scientific work
  • Present findings in top-tier scientific and machine-learning venues
  • Foster a work culture of curiosity and kindness

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

Palo Alto, California

Founded

2021

Growth & Insights
Headcount

6 month growth

14%

1 year growth

41%

2 year growth

190%
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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.

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