Job Overview
Location
Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 12, 2026
Full Job Description
đź“‹ Description
- • SandboxAQ is at the forefront of delivering groundbreaking AI solutions designed to tackle some of the world's most significant challenges. As a high-growth company, we are dedicated to advancing fields such as life sciences, financial services, navigation, and cybersecurity through our innovative Large Quantitative Models (LQMs). Our global team is a rich tapestry of experts spanning AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and numerous other specialized domains. Emerging as an independent entity from Alphabet Inc. in 2022, SandboxAQ is backed by leading investors and supported by a distinguished braintrust of industry pioneers.
- • We foster an environment that champions creativity, encourages deep collaboration, and prioritizes impactful contributions. Our commitment to investing in our people is the cornerstone of building a thriving, global workforce poised to address epic challenges. Joining SandboxAQ means advancing your career within an inspiring mission, surrounded by like-minded individuals who embody entrepreneurial spirit, ownership, and a drive for transformative impact.
- • The SandboxAQ Research & Development team is actively seeking a Postdoctoral Resident for a full-time, 12-month research fellowship. This pivotal role is central to our strategic initiative to significantly enhance the application of Artificial Intelligence within the cybersecurity domain. We are looking for candidates who possess a robust theoretical foundation in machine learning and a keen interest in frontier research, with the ability to translate these theoretical underpinnings into practical, real-world applications.
- • The ideal candidate will be adept at building machine learning models from the ground up, skillfully fine-tuning existing models for optimal performance, and architecting sophisticated software systems around these models. This will be achieved through close, synergistic collaboration with our dedicated engineering department. You will become an integral part of a diverse and dynamic team comprising leading ML experts, seasoned cryptographers, brilliant mathematicians, and insightful physicists. This multidisciplinary group is crucial to the efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ, driving innovation and pushing the boundaries of what's possible.
- • This 12-month fellowship is specifically designed as a deep dive into frontier research conducted within a production-oriented environment. It offers a unique opportunity to gain hands-on experience with real-world data and challenges, contributing directly to products that have a tangible impact. To gain a deeper understanding of how our fellows contribute to the broader ecosystem and the nature of their work, we encourage you to explore our residency program details.
- • Key Responsibilities will include performing comprehensive exploratory data analysis on vast and complex datasets, identifying patterns, and engineering relevant features to enhance model performance. You will be responsible for training state-of-the-art models and developing intelligent agents utilizing the latest advancements in machine learning frameworks and libraries.
- • A significant aspect of this role involves the seamless integration of your research outcomes into our existing product portfolio. This requires close collaboration and effective communication with our product and engineering teams to ensure that innovations are translated into deployable solutions.
- • You will also be expected to present your research findings and technical work to a diverse range of audiences. This includes engaging with academic peers, presenting to internal teams, and communicating complex concepts to industry stakeholders, demonstrating the ability to articulate technical details clearly and concisely.
- • As a key contributor within our multidisciplinary R&D environment, you will play a vital role in enabling and accelerating the development of cutting-edge technologies. This involves actively participating in team discussions, sharing insights, and collaborating on complex problems to drive technological advancements.
- • The role demands a proactive approach to problem-solving, a strong sense of ownership, and the ability to work independently while also being a collaborative team player. You will be encouraged to explore novel approaches and experiment with new methodologies to push the boundaries of AI research in cybersecurity.
- • This position offers an unparalleled opportunity to work on challenging, impactful projects at the intersection of AI and cybersecurity, contributing to a company that is shaping the future of technology. You will have access to significant computational resources and a wealth of data, enabling you to conduct high-impact research.
- • We are looking for individuals who are passionate about machine learning, possess a strong desire to learn and grow, and are excited by the prospect of making a significant contribution to a rapidly evolving field. Your work here will not only advance your own research but also contribute directly to the development of next-generation AI-powered cybersecurity solutions.
🎯 Requirements
- • PhD in Machine Learning, Data Science, Computer Science, or a closely related quantitative field with a demonstrated strong focus on Machine Learning research and development.
- • Proven, hands-on experience with Python and major machine learning frameworks such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch.
- • A strong track record of research accomplishments in the field of Machine Learning, evidenced by publications, conference presentations, or significant project contributions.
- • Demonstrated ability in end-to-end model development, including building models from scratch, implementing efficient training strategies, and optimizing inference for both generative and quantitative models.
- • Experience with agentic frameworks such as OpenAI agents, Google ADK, or MCP is highly desirable.
- • Prior contributions to open-source projects are a plus, indicating a collaborative spirit and engagement with the broader developer community.
🏖️ Benefits
- • Competitive base salary, complemented by performance-based incentives or bonuses where applicable, and potential equity participation, reflecting the value of your contributions.
- • Comprehensive medical, dental, and vision insurance coverage for employees and their dependents, with substantial employer contributions towards premiums, ensuring your health and well-being.
- • Retirement savings plan with a generous company matching program, helping you secure your financial future.
- • Generous paid parental leave and inclusive family-building benefits, supporting you and your growing family during significant life events.
- • Flexible paid time off (PTO) and company-wide seasonal breaks designed to promote a healthy work-life balance and prevent burnout, allowing for rest and rejuvenation.
- • Opportunities for continuous learning and professional growth through on-the-job development, cross-functional project collaboration, and access to internal learning and development resources and programs.
Skills & Technologies
Python
R
TensorFlow
PyTorch
Remote
Degree Required
About SandboxAQ Inc.
SandboxAQ is an enterprise AI company spun out of Alphabet in 2022, focused on applying large quantitative models to solve complex problems in cybersecurity, encryption, sensing, and simulation. Its software and hardware solutions combine AI with quantum-inspired methods to help government and Fortune 500 clients secure data, accelerate materials discovery, and optimize sensing for healthcare and navigation. Based in Palo Alto with global offices, the company partners with large systems integrators and cloud vendors to deploy scalable, physics-aware AI platforms for defense, life sciences, and financial services organizations.
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