Sr. Machine Learning Engineer Machine Learning

The Role

Sr. Machine Learning Engineer. A research-minded machine learning engineer who thrives at the intersection of cutting-edge AI scientific research and rigorous engineering. This role is for someone excited to build and scale the models infrastructure and AI tools that accelerate Dynos work at the frontier of AI-driven genetic medicine.

Job Type: Full Time

Location: Watertown MA; Remote

How You Will Contribute

As a Sr. Machine Learning Engineer you will build and scale the ML infrastructure tools and workflows that power Dynos research efforts. You will partner closely with AI scientists protein engineers and fellow ML engineers to turn novel research into robust reusable systemsimproving model training and inference optimizing performance and advancing agentic AI workflows that accelerate scientific discovery.

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:

• Build modular generalizable and portable ML training systems that support the ongoing development of protein design models.
• Improve the scalability reliability and performance of ML training and inference infrastructure to enable rapid research experimentation.
• Optimize model performance using tools such as GPU profiling custom kernels and modern accelerated computing frameworks.
• Develop and standardize agentic AI workflows that increase research velocity while maintaining appropriate safety and reliability.
• Partner closely with AI scientists protein engineers and other ML engineers to translate research prototypes into robust reusable tools and systems.
• Contribute across the ML engineering stack from modeling and GPU-level optimization to distributed training and multi-node orchestration.
• Stay current on emerging ML engineering and agentic AI tools and help the team evaluate and adopt approaches that advance Dynos research.
• Support the delivery and communication of Dynos work both internally and externally.
• Work with urgency and adaptability balancing innovation with execution.
• Collaborate cross-functionally leveraging Dynos high-trust high-impact culture to drive results.

Basic qualifications

• 5 years professional experience building software for machine learning
• Strong software engineering fundamentals (OO design testing version control dependency management API design)
• Experience containerizing code for remote environments including hands-on experience with Docker and Kubernetes.
• Experience with large-scale distributed training or inference with Ray or a similar framework
• Familiarity with ML performance engineering (identifying bottlenecks analyzing resource usage profiling writing custom kernels)
• Experience designing and owning technically complex systems through requirements-setting implementation rollout and maintenance
• Ability to contribute to technical direction through design reviews cross-team planning documentation etc.
• Alignment with Dynos 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 - you dont just identify challenges; you find solutions.

Preferred qualifications

• Professional or academic experience in ML research / scientific computing
• Experience building internal platforms and/or developer tools
• Familiarity with common MLOps tools and practices (model monitoring model versioning CI/CD model registries)
• Experience with GPU programming (CUDA Triton etc).
• Highly proficient in agentic and usage of modern AI tools for software development
• Exposure to biology bioinformatics structural biology or protein modeling

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 expertsall 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 wordsthey drive our actions and decisions. Our greatest strength isnt technologyits our work ethic. More than just technologists were a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.

What Youll 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 Youll Get:

• Competitive compensation & equityyour contributions drive results and we pay accordingly.
• Mission-aligned high-trust environmentwe succeed together supporting each other through challenges.
• A career-defining experiencework at the forefront of AI-driven genetic medicine tackling problems that reshape healthcare.

If youre ready to push boundaries build the future and thrive in a fast-moving high-impact environmentwed love to hear from you.

At Dyno we believe in transparent and equitable compensation practices.

Base Salary Range: $178662.29 $213680.10/year

This reflects the typical offer range for this role based on experience role scope and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidates experience interview performance and expected impact.

This role is eligible for:

• Annual performance-based bonus
• Stock options
• Comprehensive medical dental and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-campus gym membership onsite lunch commuter support and company provided laptop

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Equal Employment Opportunity (EEO) Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process nor will we ask for personal information such as financial details over email. Official communication will only come from an @ email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain please report it as spam and report the communication to us at