Staff Machine Learning Infrastructure Engineer
Staff Machine Learning Infrastructure Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
The Role
Staff ML Infrastructure Engineer. Were 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 Dynos 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 Dynos 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 platforms 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 Dynos 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 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.
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 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.
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
Required Experience:
Staff IC
Employment Type
Full-Time
