Allen Institute
Software Engineer III - AI/ML Infrastructure in Biology
Allen Institute, Seattle, Washington, us, 98127
Software Engineer III - AI/ML Infrastructure in Biology
Join to apply for the
Software Engineer III - AI/ML Infrastructure in Biology
role at
Allen Institute Software Engineer III - AI/ML Infrastructure in Biology
Join to apply for the
Software Engineer III - AI/ML Infrastructure in Biology
role at
Allen Institute SW Engineer III - AI/ML Infrastructure in Biology
The SW Engineer III - AI/ML Infrastructure in Biology
The
mission
of the
Allen Institute
is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the
Allen Institute
focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the
Office of the Chief Technology Officer
(CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI.
We are seeking an independent and motivated
Machine Learning (ML) engineer
in the Office of the CTO AI Applications group. This position will work closely with AI researchers, scientists and engineering teams to build large AI/ML models for Biology and the computational infrastructure to support these models. The role is also expected to work collaboratively across all the Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.
At the Allen Institute, we believe that science is for everyone and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
Assist the development of state-of-the-art engineering infrastructure at the Allen Institute to support AI/ML research and applications Enable data management, software infrastructure and AI/ML workflow best practices and policies Build tooling to enable model development and scale across many GPUs and across multiple clouds Collaborate with teams of scientists, computational biologists, PMs, UX researchers and software engineers within the Allen Institute and external partners Help establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems Participate in institute-wide initiatives, workshops, and seminars to promote engineering excellence through technical leadership, cross-disciplinary collaboration and knowledge sharing
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education And Experience
Bachelors Degree in Computer Science or related technical field or equivalent experience 2-5 years of experience working with MLOps in medium to large scale GPU clusters and/or cloud based ML deployments
Preferred Education And Experience
Experience with building, deploying and maintaining machine learning models Proficiency with cloud computing (AWS, GCP or Azure) and with on-prem clusters Experience with databases, large data management Working knowledge of AI/ML custom libraries, AI/ML execution platforms Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment
Physical Demands
Fine motor movements in fingers/hands to operate computers and other office equipment
Position Type/Expected Hours of Work
This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
Travel
Attendance and participation in national and international conferences as appropriate
Additional Comments
**Please note, this opportunity does not offer relocation assistance** **Please note, this opportunity does not offer work visa sponsorship**
Annualized Salary Range
$144,450 - $180,550
Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institutes Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institutes 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institutes benefits offering are located at the following link to the Benefits Guide:? https://alleninstitute.org/careers/benefits .
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
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Join to apply for the
Software Engineer III - AI/ML Infrastructure in Biology
role at
Allen Institute Software Engineer III - AI/ML Infrastructure in Biology
Join to apply for the
Software Engineer III - AI/ML Infrastructure in Biology
role at
Allen Institute SW Engineer III - AI/ML Infrastructure in Biology
The SW Engineer III - AI/ML Infrastructure in Biology
The
mission
of the
Allen Institute
is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the
Allen Institute
focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the
Office of the Chief Technology Officer
(CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI.
We are seeking an independent and motivated
Machine Learning (ML) engineer
in the Office of the CTO AI Applications group. This position will work closely with AI researchers, scientists and engineering teams to build large AI/ML models for Biology and the computational infrastructure to support these models. The role is also expected to work collaboratively across all the Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.
At the Allen Institute, we believe that science is for everyone and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
Assist the development of state-of-the-art engineering infrastructure at the Allen Institute to support AI/ML research and applications Enable data management, software infrastructure and AI/ML workflow best practices and policies Build tooling to enable model development and scale across many GPUs and across multiple clouds Collaborate with teams of scientists, computational biologists, PMs, UX researchers and software engineers within the Allen Institute and external partners Help establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems Participate in institute-wide initiatives, workshops, and seminars to promote engineering excellence through technical leadership, cross-disciplinary collaboration and knowledge sharing
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education And Experience
Bachelors Degree in Computer Science or related technical field or equivalent experience 2-5 years of experience working with MLOps in medium to large scale GPU clusters and/or cloud based ML deployments
Preferred Education And Experience
Experience with building, deploying and maintaining machine learning models Proficiency with cloud computing (AWS, GCP or Azure) and with on-prem clusters Experience with databases, large data management Working knowledge of AI/ML custom libraries, AI/ML execution platforms Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment
Physical Demands
Fine motor movements in fingers/hands to operate computers and other office equipment
Position Type/Expected Hours of Work
This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
Travel
Attendance and participation in national and international conferences as appropriate
Additional Comments
**Please note, this opportunity does not offer relocation assistance** **Please note, this opportunity does not offer work visa sponsorship**
Annualized Salary Range
$144,450 - $180,550
Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institutes Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institutes 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institutes benefits offering are located at the following link to the Benefits Guide:? https://alleninstitute.org/careers/benefits .
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Biotechnology Research, Research Services, and Non-profit Organizations Referrals increase your chances of interviewing at Allen Institute by 2x Get notified about new Software Engineer jobs in
Seattle, WA . Redmond, WA $100,600.00-$215,400.00 2 days ago Redmond, WA $84,200.00-$180,400.00 4 days ago Seattle, WA $120,300.00-$168,700.00 4 days ago Seattle, WA $100,000.00-$720,000.00 1 week ago Seattle, WA $140,000.00-$250,000.00 2 weeks ago Software Engineer III, Full Stack, Chrome
Seattle, WA $141,000.00-$202,000.00 3 days ago Seattle, WA $140,000.00-$180,000.00 2 months ago Software Engineer - New Grad (2026 Start)
Seattle, WA $110,400.00-$138,000.00 1 week ago Bellevue, WA $157,000.00-$230,000.00 1 day ago Seattle, WA $140,000.00-$180,000.00 2 months ago Software Engineer, GCE, Virtual I/O Networking
Seattle, WA $141,000.00-$202,000.00 2 weeks ago Software Engineer, Backend (Staff & SWE II) - Slack
Seattle, WA $157,600.00-$334,600.00 1 day ago Software Engineer: Frontend Intern Opportunities for University Students, Redmond
Redmond, WA $11,010.00-$12,030.00 2 weeks ago Seattle, WA $140,000.00-$250,000.00 2 weeks ago Software Engineer, Sharing and Connections Analytics
Kirkland, WA $141,000.00-$202,000.00 2 days ago Software Engineer - New Grad, Distributed Data Systems (2026 Start)
Seattle, WA $73,700.00-$158,200.00 4 days ago Software Engineer III, Full Stack, Google Ads
Kirkland, WA $141,000.00-$202,000.00 4 days ago Redmond, WA $100,600.00-$215,400.00 2 days ago Seattle, WA $130,000.00-$200,000.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr