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17 May 2022
Full-Time Staff Machine Learning Engineer
Job Description
Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!
About the Role
We are looking for an outstanding, experienced Staff Machine Learning Engineer who is passionate about helping people be their best selves. You will be working closely with our data science, product, engineering and care teams as you build and maintain machine learning products that move the needle for the company.
Responsibilities
- Design, train and validate algorithms to derive as much actionable information from our data (text, media, activity, etc) as possible
- Define metrics of success at various points of the development process for self and others
- Lead the design, integration and development of our machine learning infrastructure, processes and tooling
- Engineer informative features that allow us to infer quality of care, summarize salient conversations, etc.
- Develop and deploy algorithms that extend coach and clinician awareness of member goals, status, history and probable health risks, deliver content recommendations
- Collaborate with engineers to integrate algorithms efficiently with backend production services and monitor them after launch
- Design scalable, highly reliable and repeatable solutions for model monitoring, retraining, tracking quality, and understanding usage
- Work with the product team to define new products, build ML solutions and integrate them into the machine learning team’s roadmap
- Mentor promising ML engineers technically and professionally
- Employ data to keep our eyes on the prize: improved mental-health outcomes for all members.
Requirements
- Experience solving problems with Machine Learning in an academic or professional setting (6+ years)
- Experience leading projects or teams in Data Science / Machine Learning (3+ years)
- Fluency in programming with Python (7+ years)
- Experience deploying models to production (5+ years)
- Experience working in public cloud environments like AWS, Azure or GCP (4+ years)
- Strong background in Natural Language Processing, modern NLP tools (HuggingFace Transformers, AllenNLP, SpaCy) and machine learning libraries (scikit-learn, PyTorch, TensorFlow)
- Strong foundations in statistics and mathematics, data analysis and visualization
- Familiarity with recent advances in natural language processing, computer vision, speech processing, reinforcement learning, etc.
- Masters or PhD in CS, Math, Applied Sciences or Engineering, or equivalent real-world experience
Ideal
- Experience conducting annotation and collecting data
- Experience training machine learning models on GPUs
- Distributed ML using Spark or similar
- Experience setting up and maintaining data pipelines and infrastructure
- Experience using Infrastructure-as-Code tools like AWS CDK or Terraform
- Experience in the healthcare space
How we feel about Diversity & Inclusion:
Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
Headspace Health participates in the E-Verify Program.
Headspace Health is committed to protecting the privacy and security of your personal data. Please view our privacy notice here.
How to Apply
Please apply directly on our website at https://www.ginger.com/apply?gh_jid=3669615157 total views, 0 today