Senior Machine Learning Engineer @ Headspace | Jobright.ai
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Headspace · 3 days ago

Senior Machine Learning Engineer

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ML EngineeringNLP ToolsMachine Learning LibrariesAI/ML TechnologiesNLG ModelsOO DesignPython ProgrammingTestingVersion ControlML Initiative ManagementService DesignScalabilityProblem SolvingCommunicationInfluenceLeadership/B TestingExperimental DesignMachine LearningAWSSageMakerLambdaS3DynamoDBIAMClinical ApplicationsHealthcare Applications

Required

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

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

Benefits

Comprehensive healthcare coverage
Monthly wellness stipend
Retirement savings match
Lifetime Headspace membership
Unlimited free mental health coaching
Generous parental leave
Paid performance incentives

Company

Headspace

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Headspace specializes in providing mental healthcare, including coaching therapy and psychiatry, as well as meditation mindfulness tools.

H1B Sponsorship

Headspace has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2)
2022 (8)
2021 (3)
2020 (6)

Funding

Current Stage
Growth Stage
Total Funding
$320.85M
Key Investors
Oxford Finance LLCBliscePacific Western Bank
2023-07-26Debt Financing· $105M
2022-02-14Series C· Undisclosed
2021-10-31Secondary Market· Undisclosed

Leadership Team

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Andy Puddicombe
Co-Founder
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Richard Pierson
Co-Founder
Company data provided by crunchbase
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