Senior Machine Learning Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Mental Health, BiotechnologyIndustries

Requirements

Candidates must possess an MS or higher in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience, along with 5+ years of ML engineering experience. Required skills include 3+ years of experience with modern NLP tools and machine learning libraries like scikit-learn, PyTorch, TensorFlow, and spaCy, as well as 3+ years of experience with fundamental technologies such as vector search, embedding models, recommender systems, various machine learning techniques (supervised, unsupervised, deep learning, reinforcement learning), LLM orchestration, and RAG systems. Experience with testing, version control, strong problem-solving, communication, and influencing skills are essential, as is mentorship of junior engineers and contribution to DEIB initiatives. Familiarity with clinical/healthcare ML applications, current ML literature, OO design, Python, scalable services, and AWS services like SageMaker, Lambda, S3, DynamoDB, and IAM are considered advantageous.

Responsibilities

The Senior Machine Learning Engineer will lead the development of complex, scalable AI models and applications from inception to production, driving impactful ML technology initiatives to shape mental healthcare delivery. This role involves providing technical leadership, acting as a role model for AI/ML engineers, contributing to an inclusive technology community, and promoting high-quality code through code reviews. Additionally, the engineer will increase internal and external company visibility in the AI community through open source contributions and presentations, and will be responsible for the vision, alignment, development, deployment, and evangelization of language-based ML applications powering core Headspace features.

Skills

Machine Learning

NLP

scikit-learn

PyTorch

TensorFlow

spaCy

vector search

embedding models

recommender systems

supervised learning

conversational AI

recommendation systems

personalization systems

AI models

ML applications

Python

Headspace

Digital health platform for mindfulness and meditation

About Headspace

Headspace is a digital health platform focused on mindfulness and meditation, aimed at helping individuals improve their mental and physical well-being. The platform offers guided meditation sessions, daily mini-meditations, and exercises tailored for various needs such as sleep, stress, and anxiety. Users can access a limited selection of content for free, but a subscription to Headspace Plus unlocks the full range of services. This subscription model not only provides a steady revenue stream but also allows users to access comprehensive tools for mental health improvement. Headspace distinguishes itself from competitors by offering free access to its premium service for unemployed individuals, showcasing its commitment to supporting mental health during difficult times. The company's goal is to enhance the overall well-being of its users through accessible mindfulness practices.

Santa Monica, CaliforniaHeadquarters

2010Year Founded

$170.6MTotal Funding

DEBTCompany Stage

Consumer Software, HealthcareIndustries

1,001-5,000Employees