Staff Machine Learning Infrastructure Engineer

The Role

Staff ML Infrastructure Engineer. We’re looking for a relentless systematizing infra expert who thrives at the intersection of machine learning and cloud-native engineering. This role is for someone eager to build the foundation underlying Dyno’s ML capabilities and help accelerate the discovery of next-generation gene therapies.

Job Type: Full Time

Location: Watertown, MA or NYC

How You Will Contribute

As Staff ML Infrastructure Engineer, you will be responsible for designing, optimizing, and scaling the infrastructure that powers Dyno’s ML-driven capsid design platform. Your work will ensure our models train faster, deploy more efficiently, and operate reliably at scale. This role is core to our platform’s success - enabling seamless iteration across ML research and engineering, and accelerating our mission to transform genetic medicine.

At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine.

Responsibilities: 

• Own and optimize ML compute infrastructure: manage dynamic allocation, track usage and costs, and forecast future needs.
• Partner with other engineers to evolve our ML tooling and development environment, improving reproducibility, efficiency, and developer velocity.
• Deploy ML models into production environments and improve inference performance.
• Manage vendor relationships (e.g., Google Cloud, Weights & Biases), including technical oversight and future-looking decision making.
• Work with urgency and adaptability, balancing innovation with execution.
• Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.

Basic qualifications

• BS with 4 years+ of relevant industry experience.
• Experience with cloud-native infrastructure (GCP or AWS), particularly for ML workflows.
• Python fluency for scripting, automation, and infrastructure tooling.
• Experience working in and managing containerized environments (Docker, Kubernetes).
• Hands-on experience supporting large-scale ML training and experimentation.
• Ability to own vendor relationships from a technical perspective.
• Alignment with Dyno’s core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment.
• A proactive, problem-solving mindset.

Preferred qualifications

• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) in production.
• Experience managing compute budgets and forecasting needs.
• Prior involvement in cloud infrastructure transitions or system migrations.

The Company

At Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine.

Our culture is defined by three core values that guide everything we do:

• One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.
• Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.
• Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.

These values are more than words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.

🚀 What You’ll Give:

• Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.
• Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.
• Operate with urgency, responsibility, and resilience, because this mission demands the best from us.

🎯 What You’ll Get:

• Competitive compensation & equity—your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.
• A career-defining experience—w