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>The SandboxAQ AI team is looking for an AI Engineer to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects:<ul><li>Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.</li><li>Quality: Measuring ROI of agents and suggesting improvements</li><li>Collaboration: Bringing humans and agents together into one place with shared context</li></ul>A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production.This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles.We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.<h2>Key Responsibilities</h2><ul><li>Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively.</li><li>Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks.</li><li>Work closely with Product and Research to translate AI research into applicable features and software engineering projects.</li><li>Rapidly iterate on prototypes and features based on feedback and evolving product needs.</li><li>Contribute production ready code, working across engineering to deliver scalable software.</li><li>Stay on the edge of the latest agentic developments and explore new opportunities.</li></ul><h2>Essential Skills &amp; Experience</h2><ul><li>MSc in Computer Science or related field with exposure to AI/ML.</li><li>Deep expertise in AI/ML, software engineering, or AI security.</li><li>Strong programming skills in Python, and relevant ML and/or agentic frameworks.</li><li>Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes.</li><li>Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.</li></ul><h2>Highly Desired Skills &amp; Experience</h2><ul><li>PhD in Computer Science or related field with focus on AI/ML or similar.</li><li>Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse.</li><li>Experience contributing to open source projects.</li><li>Experience in a fast-paced startup environment.</li><li>Experience in cybersecurity is a plus, but not essential. </li></ul><h2>Why Join Us?</h2>We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.<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>

AI Engineer

<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>The SandboxAQ AI team is looking for an AI Engineer to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects:<ul><li>Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.</li><li>Quality: Measuring ROI of agents and suggesting improvements</li><li>Collaboration: Bringing humans and agents together into one place with shared context</li></ul>A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production.This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles.We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.<h2>Key Responsibilities</h2><ul><li>Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively.</li><li>Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks.</li><li>Work closely with Product and Research to translate AI research into applicable features and software engineering projects.</li><li>Rapidly iterate on prototypes and features based on feedback and evolving product needs.</li><li>Contribute production ready code, working across engineering to deliver scalable software.</li><li>Stay on the edge of the latest agentic developments and explore new opportunities.</li></ul><h2>Essential Skills &amp; Experience</h2><ul><li>MSc in Computer Science or related field with exposure to AI/ML.</li><li>Deep expertise in AI/ML, software engineering, or AI security.</li><li>Strong programming skills in Python, and relevant ML and/or agentic frameworks.</li><li>Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes.</li><li>Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.</li></ul><h2>Highly Desired Skills &amp; Experience</h2><ul><li>PhD in Computer Science or related field with focus on AI/ML or similar.</li><li>Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse.</li><li>Experience contributing to open source projects.</li><li>Experience in a fast-paced startup environment.</li><li>Experience in cybersecurity is a plus, but not essential. </li></ul><h2>Why Join Us?</h2>We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.<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>

<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>

Sandboxaq

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AI Engineer

AI Engineer

AI Engineer

Senior Machine Learning Engineer, AI Generation Engine

Senior Machine Learning Engineer, AI Generation Engine

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