Senior Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $178.7k - $213.7k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dyno Therapeutics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

💼 Consulting

🧬 Biotechnology

💰 $100M Series A - Dyno Therapeutics on 2021-05

Healthcare • Consulting • Biotechnology

Dyno Therapeutics is an AI-driven biotechnology company developing high-performance genetic technologies and gene delivery platforms to enable next-generation medicines and expand genetic agency for patients. The company combines machine learning and laboratory science to optimize vectors and delivery systems through partnership-focused programs that accelerate therapeutic development. Based in Watertown, MA, Dyno focuses on translating computational design and experimental data into scalable solutions for gene therapy and genetic medicine.

📋 Description

• Build modular, generalizable, and portable ML training systems supporting protein design models. • Improve scalability, reliability, and performance of ML training and inference infrastructure. • Optimize model performance using GPU profiling, custom kernels, and accelerated computing frameworks. • Develop and standardize agentic AI workflows that increase research velocity while maintaining safety and reliability. • Translate research prototypes into robust, reusable tools and systems with AI scientists, protein engineers, and ML engineers. • Contribute across modeling, GPU-level optimization, distributed training, and multi-node orchestration. • Evaluate and adopt emerging ML engineering and agentic AI tools. • Support delivery and communication of Dyno’s work internally and externally. • Collaborate cross-functionally to drive results.

🎯 Requirements

• 5+ years of professional experience building software for machine learning • Strong software engineering fundamentals, including object-oriented design, testing, version control, dependency management, and API design • Hands-on experience with Docker and Kubernetes for containerizing code in remote environments • Experience with large-scale distributed training or inference using Ray or a similar framework • Familiarity with ML performance engineering, including bottleneck identification, resource analysis, profiling, and 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, and documentation • Alignment with Dyno’s core values and high-expectation environment • Proactive problem-solving mindset • Preferred: professional or academic ML research/scientific computing experience • Preferred: internal platforms or developer tools experience • Preferred: MLOps tools and practices, including model monitoring, model versioning, CI/CD, and model registries • Preferred: GPU programming experience with CUDA, Triton, or similar tools • Preferred: proficiency with agentic and modern AI software-development tools • Preferred: exposure to biology, bioinformatics, structural biology, or protein modeling

🏖️ Benefits

• Competitive compensation & equity • Annual performance-based bonus • Stock options • Comprehensive medical, dental, and vision coverage • 401(k) plan • Flexible paid time off and holidays • On-campus gym membership • Onsite lunch • Commuter support • Company provided laptop • Mission-aligned, high-trust environment • Career-defining experience at the forefront of AI-driven genetic medicine