Machine Learning Engineer (Remote)
Anywhere in the US
Applications have closed
Loyal is an organization centered on experience and building a platform that allows consumers to make meaningful decisions when it comes to healthcare. We deeply understand providers, locations, services, appointments, business rules, and moreover, we understand patients -- who they are, the preferred method of communication, upcoming appointments, lapsed appointments, outstanding bills, health risks, and more. With this intelligence, our platform fuels highly relevant and personalized experiences across all mediums (website, email, voice…) allowing patients to get healthy, stay healthy, and have a better relationship with the health care provider.
**This is a remote role**
Summary
We are looking for a motivated, creative machine learning engineer with experience working with large datasets and applying modern machine learning and NLP algorithms towards solving domain-specific problems. The Engineer will be responsible for designing, developing, testing, deploying, maintaining and improving machine learning models, infrastructure, and software that uses these models. The Engineer will work with other engineers to develop software features for various products employing machine learning.
Responsibilities
- Contribute to a wide variety of development and research projects involving machine learning, natural language processing, and artificial intelligence
- Build, maintain, and troubleshoot new and existing machine learning applications.
- Understand requirements and determine an implementation plan.
- Responsible for complex bug fixes and debugging tasks of software and machine learning models.
- Understand how infrastructure and code influence and/or impact each other.
- Work on multiple projects simultaneously, prioritize effectively to meet our delivery expectations.
Qualifications
- Bachelor’s degree in computer science or related field and/or equivalent work experience. Master’s degree preferred.
- Minimum of 2 years of full-time industry experience in relevant software development.
- Strong programming skills in Python.
- Extensive knowledge of machine learning and natural language processing algorithms and systems.
- Experience with deep learning frameworks (PyTorch, TensorFlow) and NLP libraries (HuggingFace, spaCy) preferred.
- Experience with version control (Git) and code hosting (GitHub).
- Proficiency with the software development lifecycle.
- Experience working within a software as a service (SaaS) company preferred.
- Experience working within a start-up and/or ambiguous environment, with proven experience to be adaptable preferred.
- Research or industry experience in Artificial Intelligence, Machine Learning, Natural Language Processing, or Deep Learning
- Experience building, deploying, and improving machine learning models.
#LI-REMOTE
Loyal to our employees We are a remote-friendly company! We encourage you to apply from anywhere in the United States. We also believe in a work/life balance that fulfills you while you’re here and supports you when you’re not. We built our benefits package to prove that we’re committed to you having everything you need (including a little fun). Here is what we offer full-time employees:
- Flexible paid time off, sick and personal days
- At least one holiday per month (sometimes, more!)
- Full health, dental, and vision insurance - Loyal pays the premium for all employees!
- One Time Home Office Setup Stipend For Remote & Hybrid Roles
- Monthly Internet Stipend for Remote & Hybrid Roles
- Long term & short term disability
- 401[k] plan
- 16 Weeks Paid Parental Leave
- 2 Volunteer days per year
- Matching Gift Program
- Participation Grant Program
- Annual Travel/Team Events up to twice per year (post-COVID)
We believe that the key to Loyal's success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold.
Loyal is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs.
We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Further, consistent with applicable federal and state law, Loyal provides reasonable accommodations when requested by qualified applicants or employees with disabilities, unless doing so would cause an undue hardship. Loyal’s policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If you require a reasonable accommodation in connection with the application process, please contact the Talent Acquisition Department at talentacquisition@loyalhealth.com.
E-Verify This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.COVID-19 Vaccinations
Consistent with Loyal policy, candidates performing in-person work will be required to show proof of being fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable law. If you require a reasonable accommodation to Loyal’s vaccination requirement, please contact the People Department at people@loyalhealth.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Git GitHub HuggingFace Machine Learning ML models NLP Python PyTorch Research Security spaCy TensorFlow Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Insurance Parental leave Startup environment Team events
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