Sr. Machine Learning Engineer - Machine Learning

The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-08-18

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.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Dyno Therapeutics Jobs in Massachusetts Jobs in Watertown, MA Massachusetts state guide

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About the role

This is a — role in the Technology field (Data, analytics and AI) at Dyno Therapeutics.

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How to prepare and behave

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The city

Watertown, MA is not one of the cities with its own page in our guides, so here is the state: Massachusetts.

The state economy in brief

Massachusetts is in the Northeast region (New England division) and has 7,044,056 residents (the 16th largest of the 50 states and DC by population), with a median age of 40.0. Its economy produced about $834,474 million in the latest four quarters (BEA), 12th among states and DC, equal to $118,465 per resident.

Jobs and the labour market

The unemployment rate was 4.3% in 2026M09, which is 35th lowest of 51 (1st is the lowest). Employers had job openings equal to 3.4% of employment, 44th highest of 51, a measure of how hard it is to hire. The median wage across all occupations is $63,590 a year ($30.57 an hour), 25% above the national median ($63,590 against $50,980).

What people do and what it pays

The occupations with the most jobs in Massachusetts are Home Health and Personal Care Aides (117,940 jobs, median $40,910); General and Operations Managers (95,880 jobs, median $127,220); Registered Nurses (88,200 jobs, median $104,550); Retail Salespersons (86,860 jobs, median $36,610); Fast Food and Counter Workers (85,810 jobs, median $35,850). Among occupations with at least 2,000 jobs, the best paid are Family Medicine Physicians (median $277,490); Natural Sciences Managers (median $267,290); Physicians, All Other (median $236,580). Compared with the nation, the state is most specialised in life, physical, and social science (2.3 times the national share of workers) and architecture and engineering (1.3 times the national share of workers).

Cost of living, taxes and workplace rules

Prices are above the national average in Massachusetts: the regional price parity is 105.8 against 100 for the whole country (45th lowest of 51). Median gross rent is $1,762 a month and the median household income $103,960, so a year of rent equals 20.3% of income; the median home value is $562,100. The state minimum wage is $15.00 (the higher of state and federal rates applies to most workers). State income tax on wages: Graduated, top rate 9.00%. It is not a right-to-work state, so union contracts can require fees from covered workers. It runs a state paid family and medical leave programme.

People and commuting

18.1% of residents were born abroad and 47.3% of adults hold a bachelor's degree or higher. Among workers, 61.2% drive alone, 6.5% use public transit and 18.6% work from home; 21.5% commute 45 minutes or more.

State guide: Massachusetts →

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Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (762) Software engineering (4641) Cloud, IT and infrastructure (1147) Product management (927)

Distances

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The employer

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What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Similar jobs

Same sub-niche: Data, analytics and AI

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FAQ

What is the Sr. Machine Learning Engineer - Machine Learning job at Dyno Therapeutics?

A private-sector role in technology (data, analytics and ai) listed 83 days ago. The full description is on this page and on the employer's page.

Where is this job?

Watertown, MA. A remote or flexible location is listed; confirm with the employer which states are accepted.

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How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

See the state or country guide for rent, income and taxes.

How old is this listing?

It was posted on 2026-08-18 (83 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Massachusetts.

Sources and terms

• Job data: Dyno Therapeutics careers page public feed (listing dated 2026-08-18). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

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Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)