Sandboxaq

<h2>About SandboxAQ</h2>SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.<h2>The Opportunity </h2>SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks.We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs.As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.<h2>Key Responsibilities</h2><ul><li>Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks.</li><li>Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.</li><li>Contribute to the efforts in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.</li><li>Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context.</li><li>Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.</li><li>Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment.</li></ul><h2>Essential Skills &amp; Experience</h2><ul><li>BS in Software Engineering, Computer Science, or equivalent field of study</li><li>5+ years of postgraduate experience in software development</li><li>Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.</li><li>Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)</li><li>Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.</li><li>Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights &amp; Biases, MLflow), automated testing, and version control for both code and datasets.</li></ul><h2>Highly Desired Skills &amp; Experience</h2><ul><li>MS or PhD in Software Engineering, Computer Science or equivalent experience</li><li>Financial simulation or technical experience, risk simulation</li><li>Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations</li><li>Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)</li></ul><h2>Why Join Us?</h2><ul><li>Competitive salary, equity and annual bonus</li><li>401k matching at 50% up to IRS maximum contribution</li><li>Unlimited PTO plus a summer and winter break (one week each)</li><li>Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents</li><li>$750 equipment, software, and office furniture budget</li><li>$100 per month for wellness (physical or mental) and $100 for home office bills</li><li>Top-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees</li><li>Family Planning support (fertility, surrogacy, adoption) through Carrot</li></ul><h2>SandboxAQ Welcomes All</h2>We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.Read: <a target="_blank" rel="noopener noreferrer ugc" href="https://www.sandboxaq.com/ai-in-interviews">Guidance for candidates on using AI Tools in interviews</a>

Senior Machine Learning Engineer, AI Generation Engine

<h2>About SandboxAQ</h2>SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.<h2>The Opportunity</h2>SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most.The AQNav team is looking for a highly-accomplished Data Engineer to help take us to the next level. This role is that role you always wanted, to be able to work on cutting-edge technology. You get to join and help build out infrastructure that will empower every member of the team with the data they need, pipelines to help them move faster, and processes that will accelerate and validate our models. The tools and pipelines you help build will directly impact the team's success.We are looking for a data engineer that thrives wearing a variety of hats and enjoys working alongside a diverse group including physicists, ML researchers, hardware engineers, software engineers, data engineers, field ops personnel, navigation engineers, customer facing leaders, and managers at different levels.<h2>Key Responsibilities</h2><ul><li>Data Pipeline Development &amp; Maintenance: Work across a mixed-maturity pipeline environment</li><li>Data Modeling: Build and optimize data models that serve a diverse set of consumers. You'll make the data accessible and trustworthy, not just available</li><li>Simulation Data Integration: Work within the in-house simulation suite to add data-capturing capabilities and ensure simulation outputs feed cleanly into downstream pipelines alongside real-world field data</li><li>Data Quality &amp; Observability: Instrument pipelines with quality checks, anomaly detection, and alerting so issues surface early</li><li>Cross-Functional Data Support: Translate ambiguous asks into well-defined requirements, repeatable datasets and lightweight Dashboards that the team can use independently going forward</li><li>Data Platform Infrastructure Contribution: Improve the features and reliability of our internal data platform over time</li><li>Documentation: Own the technical documentation for pipelines, data models, and schemas you touch. In a team this cross-functional, good documentation is a force multiplier</li></ul><h2>Essential Skills &amp; Experience</h2><ul><li>US citizenship (required for working with CUI data)</li><li>3+ years of industry experience as a Data Engineer in a startup or fast-moving environment.</li><li>Strong proficiency in Python and SQL, with hands-on experience building production-grade data solutions.</li><li>Experience designing and maintaining data pipelines and data models/warehouses that process large, structured scientific or engineering datasets.</li><li>Hands-on experience building on AWS (e.g., S3, ECS, Lambda, IAM) combined with CI/CD and containerization (e.g., GitHub Actions or CircleCI, Docker) to automate, deploy, and maintain data and ML workloads in the cloud.</li><li>Practical MLOps experience: setting up and operating MLOps frameworks (e.g., MLFlow, DVC)</li></ul><h2>Highly Desired Skills &amp; Experience</h2><ul><li>A Master’s or Ph.D. in a specialized technical field like computer science, data science, mathematics, etc.</li></ul><ul><li>Experience working with sensor data (100-1KHz range)</li><li>Ability to build interactive dashboards in Hex or similar</li><li>Experience working with standard ML libraries like PyTorch, scikit-learn and basic supervised/ unsupervised learning techniques.</li></ul><h2>Why Join Us?</h2>We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.<ul><li>Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.</li><li>Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.</li><li>Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.</li><li>Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.</li></ul><h2>SandboxAQ Welcomes All</h2>We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.Read: <a target="_blank" rel="noopener noreferrer ugc" href="https://www.sandboxaq.com/ai-in-interviews">Guidance for candidates on using AI Tools in interviews</a>

Sandboxaq

Open jobs at Sandboxaq

Senior Machine Learning Engineer, AI Generation Engine

Senior Machine Learning Engineer, AI Generation Engine

Data Engineer, AQNav

Working for Sandboxaq?

Featured companies