Machine Learning Engineer / Sr. Machine Learning Engineer / Machine Learning Scientist

Our Mission

Modulus Therapeutics is inventing a new platform for the discovery of next-generation cell therapies to unleash the potential of the immune system against solid tumors.

Our Story

Modulus was founded in 2020 out of the Allen Institute for Artificial Intelligence to re-engineer the discovery process for immune cell therapies. We are rapidly advancing our platform that combines high-throughput screening with machine learning to converge on optimal cell designs that enhance antitumor behavior. We train machine learning models on multi-omics data generated from high throughput experiments to create a repeatable, data-driven cell discovery process. Our team has deep technical expertise spanning genetic engineering, high throughput screening, immunology, data science, machine learning, bioinformatics, and bioengineering. 

Our Investors and Advisors

We are a seed-stage company backed by leading venture funds including Madrona Venture Group, KdT Ventures, and the Allen Institute for Artificial Intelligence Incubator. We have established scientific collaborators and advisor relationships with experts at leading academic institutions.

The Role

We are seeking a Machine Learning Engineer, Sr. Machine Learning Engineer, or Machine Learning Scientist to join our team. We are excited to welcome aboard an independent contributor or player/coach that can grow into a leadership role in a fast-paced startup environment.

The successful candidate will:

  • Quantify the results of high-throughput screening experiments and engineer features which maximize information for downstream models
  • Apply classical machine learning techniques to build models to address specific inference and prediction problems central to our therapeutic discovery platform
  • Select and implement deep learning architectures to develop models for mapping high-dimensional molecular data to low-dimensional functional data
  • Model functional readouts and make predictions about new feature interactions that would lead to high-performing therapeutic designs
  • Collaborate with Cloud Engineers and Machine Learning Scientists to develop and deploy models into production

What You Get

  • Ground floor impact at a seed-stage startup with tremendous latitude over machine learning approach.
  • Ability to grow with and advance your career alongside company growth.
  • Contribute to a compelling mission with the potential for life-altering consequences.
  • Collaborate with experienced teammates, entrepreneurs, and advisors at our collaborating academic institutions and investors.
  • Work in a culture that prizes personal wellness, autonomy, learning, asynchronous communication, bias for action, and believes it doesn't have to be crazy at work.
  • Competitive pay, benefits, and stock options commensurate with a seed-stage venture-backed company.

About You

  • You are authorized to work in the United States without sponsorship.
  • You have strong programming skills in Python with demonstrable experience developing, prototyping, deploying algorithmic solutions to machine learning problems.
  • You have experience deploying, monitoring and maintaining production models and cloud infrastructure.
  • You have significant expertise with machine learning and data science, with particular experience applying these to the biological domain, especially human cancers.
  • You bring an independent and entrepreneurial attitude, and are excited about working in a fast-paced, uncertain, and big-vision environment. Evidence of previous entrepreneurial or independent project work is a major plus.
  • Experience applying both supervised and unsupervised learning approaches to gene expression and/or flow cytometry data is a plus.
  • You have ideally worked in the pharmaceutical or life sciences domain and have experience with next-generation sequencing or LIMS systems

DIVERSITY

At Modulus, we are committed to fostering a diverse, inclusive environment. We provide an environment of mutual respect where equal opportunities are available to all employees without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion among our team members is critical to our mission, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Hiring is decided purely on the basis of qualifications, merit, and business need.

Ready to Get Started?

Apply for this Job

* Required

  
  


Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in The Allen Institute for AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.