SeniorStaff Machine Learning Engineer
SeniorStaff Machine Learning Engineer
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1 Vacancy
Job Description
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 highperformance 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 teams 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 highquality code.
- Stay current with emerging ML techniques tools and trends and apply them to improve systems and workflows.
Basic qualifications
- 3 years of postgraduate 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 cloudnative systems and infrastructure with an understanding of the benefits of GPU compute.
- Alignment with Dynos 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 biologyfocused company.
The Company
At Dyno Therapeutics we are a highenergy highimpact team on a mission to build highperformance genetic technologies that transform patient lives. Our team unites worldclass 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 problemsolvers: 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.
- Missionaligned hightrust environmentwe succeed together supporting each other through challenges.
- A careerdefining experiencework at the forefront of AIdriven genetic medicine tackling problems that reshape healthcare.
If youre ready to push boundaries build the future and thrive in a fastmoving highimpact 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 @dynotx 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
