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Senior Machine Learning Engineer

About the Senior Machine Learning Engineer at Headspace:

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. These applications include building healthcare assistance tools, personalization systems, and NLP/NLG models. In this team, you’ll be tasked with owning and delivering cutting edge language-based ML applications that will power the core features of Headspace. You’ll have the opportunity to lead the vision, alignment, development, deployment, and evangelization of these solutions, helping to bring Headspace to the forefront of AI and to realize its mission to improve health and happiness of the world.

What you will do:

  • Drive impactful ML technology initiatives from inception to production
  • Lead the development of complex, multi-component, scalable AI models and applications
  • Align design and technical decisions across internal organizations
  • Provide technical leadership and be a role model for those pursuing technical career path in AI/ML engineering
  • Promote the development of high-quality code through engagement in code review and constructive feedback
  • Increase internal and external company visibility in the AI community through open source, talks/presentations, etc.

What you will bring:. 

Required Skills:

  • MS or higher in Computer Science or a related field or equivalent experience
  • 5+ years of ML engineering experience in an academic or professional setting
  • 3+ years of experience with modern Natural Language Processing (NLP) tools (HuggingFace Transformers, AllenNLP, SpaCy) and machine learning libraries (scikit-learn, PyTorch, TensorFlow)
  • 3+ years of experience with fundamental AI/ML technologies such as supervised, unsupervised machine learning, deep learning and reinforcement learning
  • Strong experience building and launching Natural Language Generation (NLG) models & LLM orchestration systems into production environments.
  • Familiarity with current ML literature including optimization methods and agent-based models
  • Fluency in OO design and programming in Python 
  • Experience with unit, integration, and end-to-end testing, version control
  • Proven track record of driving ML initiatives from ideation to production
  • Strong problem solving and communication skills and ability to influence across internal organizations
  • Strong experience leading design and implementation of robust and highly scalable services

Preferred Skills:

  • Experience with A/B testing & experimental design
  • Professional experience with clinical and/or healthcare applications of machine learning
  • 2+ years of experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM

Pay & Benefits:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $104,981- $157,476.

At Headspace, cash salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more. Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace 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. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.


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All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.  

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. 

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