Senior/Staff Machine Learning Engineer

The Role

Senior/Staff Machine Learning Engineer. As a Machine Learning Engineer at Dyno Therapeutics, you will work with Machine Learning researchers to advance modeling efforts and build scalable tools for machine learning and infrastructure. You will play a key role in driving the direction of ML research infrastructure, accelerating research with your expertise, and developing flexible, high-performance systems.

Job Type: Full Time

Location: Watertown, MA or NYC (may consider remote candidates)

How You Will Contribute

As a Senior/Staff Machine Learning Engineer, you will accelerate research by collaborating on modeling efforts, building tools and data pipelines that improve the team’s efficiency, and driving the future direction of the ML infrastructure at Dyno. 

Responsibilities: 

• Collaborate with ML scientists and engineers to understand their needs and translate them into effective tools and systems that accelerate ML research.
• Manage ML infrastructure, including configuring and maintaining GPU compute resources.
• Design, develop, and maintain scalable data pipelines for ML data from external (PDB, UniProt, etc.) and internal sources.
• Develop, deploy, and monitor deep learning models built primarily using PyTorch but potentially other frameworks (e.g. Jax).
• Work with SQL and NoSQL databases for efficient data retrieval, storage, and analysis.
• Conduct unit testing, code reviews, and follow software design principles to ensure high-quality code.
• Stay current with emerging ML techniques, tools, and trends, and apply them to improve systems and workflows.

Basic qualifications

• 3+ years of post-graduate, full time work experience in industry.
• Strong foundation in software engineering with proficiency in programming languages such as Python.
• Experience building data systems to support machine learning, including data processing libraries such as Pandas and NumPy.
• Proficiency in SQL and NoSQL databases for data retrieval and storage.
• Experience deploying and developing deep learning models using frameworks like PyTorch, Jax, Keras, or Tensorflow.
• Familiarity with MLOps systems for training, monitoring, and evaluating ML models.
• Experience building cloud-native systems and infrastructure, with an understanding of the benefits of GPU compute.
• Alignment with Dyno’s core values.

Preferred qualifications

• Experience handling large datasets using platforms like Apache Spark or Hadoop.
• Experience managing GPU compute infrastructure.
• Previous experience in a machine learning and biology-focused company.

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.
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