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Senior Machine Learning Applied Scientist

Company: Evidation Health
Location: Santa Barbara
Posted on: September 13, 2020

Job Description:

Senior Machine Learning Applied Scientist Evidation Health is a new kind of health and measurement company that provides the technology and guidance to understand how everyday behavior and health interact. The volumes of behavior data generated from wearables and smartphones has opened up new ways to analyze individuals’ behavior and health in real time. With a virtual pool of 3 million research participants, Evidation Health undertakes research for innovative biopharma and health care companies to transform how diseases are identified, treated, and monitored.

We’re looking for outstanding applied scientists who want to use machine learning on harness vasts amounts of multi-variate time series data from connected wearables, sensors, and other mobile data in order to infer changes in health status and disease progression over time.

We value problem-solving skills and an attitude towards learning: Our work lies at the intersection of many diverse fields including machine learning, signal processing, and epidemiology. We seek great communication and accountability, people who think people first.

If you thrive on autonomy and open-ended challenges, this is the perfect opportunity to take your career to the next level.

RESPONSIBILITIES Build large scale machine learning models to predict health-related variables from time-series continuously collected from connected devices and apps

Work with a team of data scientists with very diverse backgrounds and expertise to define tasks and performance metrics.

Maintain the highest level of rigor and develop best practices to build reproducible, generalizable, fair, unbiased, and preferably interpretable models.

QUALIFICATIONS Minimum Qualifications:

PhD in Machine Learning or at least 3 years of experience in building ML models

Extensive experience with TensorFlow, Keras or MXNet

Experience with unsupervised and semi-supervised deep learning (e.g., Variational Autoencoders)

Preferred Qualifications:

Experience with weakly-supervised learning problems (incomplete, inaccurate, or inexact supervision)

Understanding of domain adaptation techniques.

Experience with probabilistic deep learning frameworks (TF Probability, Edward)

BENEFITS Health, dental, and vision benefits for you and competitive coverage for your family

Relocation support

Equity

Open vacation policy - take time when you need it

Support for remote work when needed

Relaxed work environment

Your choice of computing equipment and gear

Lots of opportunities for growth

Opportunity to work on fascinating challenges that improve people’s lives

Are you authorized to work lawfully in the United States?  *

-- Will you now or in the future require visa sponsorship?  *

--

U.S. Equal Opportunity Employment Information (Completion is voluntary) Individuals seeking employment at Evidation are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

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.

Gender Please select Are you Hispanic/Latino? Please select 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 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.

Veteran Status Please select 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

Disability Status Please select 1 Section 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.

Keywords: Evidation Health, Santa Barbara , Senior Machine Learning Applied Scientist, Other , Santa Barbara, California

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