Job Description

As Lead or Senior Software Engineer, Health Algorithms and Deep Learning, you are responsible for combining and fusing spatial and visual computing paradigms to define novel biomedical algorithms for health and fitness applications. You will work on the development of the biomarker algorithms of our spatial health computing framework, contributing directly to exploration and development. You will work closely with program management, the health platform, systems and applications teams, the data collection team, and the regulatory team to ensure the development of efficient and highly robust clinically validated algorithms.

Responsibilities

  • Explore, research, prototype, design, develop and test methods and algorithms for health applications, including the detection and measurement of clinically and biologically relevant biomarkers, and assess their feasibility prior to productization.
  • Develop optimization methods, deep learning architectures, and tools to ease the use of feed forward and recurrent models.
  • Design computationally efficient data collection and analysis mechanisms and protocols.
  • Coordinate with the digital health platform team on the transfer of algorithms from applied-research feasibility phase to their implementation as production code.
  • Assist business segment leaders and systems engineering in capturing and understanding customer needs and translating them into system requirements.
  • Interface with hardware and software teams to ensure that needed features are placed in the product roadmap.
  • Write elegant, maintainable, reusable code, leveraging test driven principles to develop high quality algorithms and services.
  • Work closely with Software Security, User Experience, Hardware, Software, Business Development, Product, Clinical and Regulatory teams to implement the next generation clinically validated digital health biomarker suite for the device.

Qualifications

  • 7+ years of industry experience as a software algorithm developer.
  • 5+ years coding & debugging of C++ and Python.
  • 3+ years of experience working in healthcare or medical device development.
  • Proven track record of bringing deep learning algorithms from applied research and feasibility to production-level implementation.
  • Strong foundations in data structures, and software and computer architecture.
  • Experience in design of deep learning, other machine learning algorithms, and other complex biomedical algorithms for health or medical applications required .
  • Knowledge of deep learning frameworks, especially TensorFlow, required.
  • Knowledge of computer vision algorithms is a very strong plus.
  • Knowledge of biomechanics or applied physiology is highly desirable.
  • Experience in the development of algorithms for measurement and monitoring of health and medical applications is a strong plus.
  • Experience working in the medical device regulated (IEC 62304, FDA, MDD, HIPAA/GDPR, cybersecurity) industry desirable.
  • Proven ability and experience in using collected data to draw conclusions.
  • Strong experience with software practices such as source control, testing, code review.
  • Knowledge and experience in usage of git is a plus.

Education

  • Ph.D. in Computer Science, Biomedical Engineering, or related with concentration on machine learning required.

#LI-REMOTE

Apply for this Job

* Required

  
  
When autocomplete results are available use up and down arrows to review
+ Add Another Education


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Magic Leap, Inc. 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.

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.


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.