--- title: 'Sr. Machine Learning Engineer - Machine Learning at Dyno Therapeutics' canonical: 'https://feeny.ai/job/sr-machine-learning-engineer-machine-learning-dyno-therapeutics-watertown-fq3rw6t6sz23' type: 'job' last_seen: '2026-09-05' --- # Sr. Machine Learning Engineer - Machine Learning at Dyno Therapeutics - **Company:** Dyno Therapeutics - **Location:** Watertown Massachusetts, United States - **Work type:** remote - **Posted:** 2026-08-18 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/dynotherapeutics/jobs/7893982003 ## Job description ## 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 Dyno’s 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 Dyno’s research efforts. You will partner closely with AI scientists, protein engineers, and fellow ML engineers to turn novel research into robust, reusable systems—improving 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 Dyno’s research. - Support the delivery and communication of Dyno’s work, both internally and externally. - 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 - 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 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 - you don’t 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 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—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare. If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we’d love to hear from you. At Dyno, we believe in transparent and equitable compensation practices. Base Salary Range: $178,662.29 – $213,680.10/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 candidate’s 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 @dynotx.com 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 jobs@dynotx.com. ## About Dyno Therapeutics ## Company Overview - **One-liner**: Dyno Therapeutics is an AI-powered biotechnology company designing high-performance AAV gene therapy vectors to unlock the potential of genetic medicine. - **Entity Type**: Private (Series A) - **Headquarters**: Watertown, Massachusetts, United States - **Founded**: 2018 - **Founders**: Eric Kelsic (CEO & Cofounder), Sam Sinai (VP, Head of Machine Learning, Cofounder) ## Core Business - **Primary industry/industries**: Biotechnology, Gene Therapy, Artificial Intelligence, Drug Delivery - **Target customers**: B2B – Pharmaceutical and biotechnology partners developing genetic medicines (e.g., Astellas, Novartis, Sarepta) - **Mission or purpose statement**: To build high-performance genetic technologies that transform patients’ lives, advancing “Genetic Agency” — an individual’s ability to take action at the genetic level to live a healthier life through safe, effective, and widely accessible genetic treatments. ## Products & Services - **AI-Powered AAV Capsid Design Platform**: A platform that combines frontier AI models (including foundation models and agentic AI) with massively parallel, multiplexed *in vivo* experimentation in non-human primates. It designs and validates novel AAV capsids optimized for selective delivery, liver detargeting, cross-species translatability, and manufacturability. - **Dyno-yp2 (CNS Capsid)**: An AI-designed AAV capsid for central nervous system (CNS) delivery. - **Dyno-bn8 (Muscle Capsid)**: An AI-designed AAV capsid for muscular delivery. - **Newly Launched Capsids (May 2026)**: Two additional AAV capsids for CNS and muscular delivery, launched at the ASGCT 2026 Annual Meeting. - **Dyno Frontiers Network**: An API-access program expanding to rare disease communities, allowing patient foundations and researchers to access Dyno’s capsid technologies for direct licensing. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of **$109M** (Series A led by Andreessen Horowitz; Seed led by CRV and Polaris Partners) - **Notable Investors/Partners**: Andreessen Horowitz (lead Series A), CRV, Polaris Partners, GV (Google Ventures), and 8+ other investors. Strategic partners include **Astellas Pharma**, **Novartis**, and **Sarepta Therapeutics**. - **Growth Signals**: - Launched two new AAV capsids and AI platform updates at ASGCT 2026 (May 2026). - 20+ filed patents. - Active job postings increased +300% month-over-month and +100% year-over-year (4 open roles as of mid-2026). - Headcount of 76 employees with a presence in the US, Canada, and Sweden. ## Competitive Advantages - **Massive *In Vivo* Data Moat**: Trained on billions of *in vivo* non-human primate measurements — a proprietary dataset that is extremely difficult and expensive to replicate. - **Frontier AI + Biology Integration**: Connects cutting-edge AI agents and foundation models directly to biological sequence design, creating a “virtuous cycle” of design-build-test-learn at scale. - **Partnership-Centric Business Model**: Unlike competitors that build their own drug pipelines, Dyno focuses purely on the platform and licenses capsids to partners, avoiding conflict and enabling broad, rapid impact. - **Cross-Species Translatability**: Designs capsids that work across species (mice, NHP, humans), a critical differentiator for clinical success. ## Strategic Focus - **Expand CNS and Muscle Delivery**: Continued launch of validated capsids for the most challenging therapeutic areas (brain, muscle, eye). - **Democratize Access via API**: The Dyno Frontiers Network and API access aim to bring AI-designed capsids to rare disease communities and smaller biotechs. - **Scale Platform Capabilities**: Integrate next-generation AI agents and foundation models to accelerate cost-effective development of genetic medicines. - **Deepen Partnerships**: Focus on long-term collaborations with leading gene therapy developers rather than competing with them. ## Why Work Here - **Mission-Driven Culture**: The company is united by a single mission to transform genetic medicine. Values include “Proactive Responsibility” (take action, deliver results) and “Reaching for Excellence.” - **Cutting-Edge Tech Stack**: Work at the intersection of frontier AI (foundation models, agentic AI) and high-throughput *in vivo* biology — a rare combination. - **High Autonomy & Impact**: Small, focused team (~76 people) means individual contributors have outsized impact on platform development and patient outcomes. - **Compensation & Culture**: Employer rating of **3.7/5** on Glassdoor, with strong marks for Compensation (4.2) and Culture (3.9). Work-life balance is rated lower (3.2), reflecting an intense, mission-driven environment. - **Location & Flexibility**: Headquarters in Watertown, MA (Boston area), with an additional office in Cambridge, MA. Hybrid/office policy is not explicitly stated but typical for early-stage biotech in the area. - **Open Roles (as of mid-2026)**: Software Engineer II (Computational Platform), Sr. Research Associate (Vector Production), Director of Ecosystem Development + Communications, and Software Engineer II. ## Sources 1. [Dyno Therapeutics Official Website](https://www.dynotx.com/) 2. [Dyno Therapeutics Careers Page](https://www.dynotx.com/careers) 3. [Dyno Therapeutics Approach Page](https://www.dynotx.com/approach) 4. [LinkedIn Company Profile](https://www.linkedin.com/company/dynotx) 5. [CBInsights Company Profile](https://www.cbinsights.com/company/dyno-therapeutics) ## Other roles at Dyno Therapeutics - [Sr. Research Associate - Gene Therapy](https://feeny.ai/job/sr-research-associate-gene-therapy-dyno-therapeutics-watertown-massachusetts-pbsgmds60fff) — Watertown Massachusetts, United States - [AI Product Manager](https://feeny.ai/job/ai-product-manager-dyno-therapeutics-watertown-massachusetts-w05k39pf9zeh) — Watertown Massachusetts, United States