Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, TechnologyIndustries
Requirements
- 4+ years of experience delivering production ready products
- Ability to write high-quality code in Python
- Experience building RESTful APIs
- Experience defining and using Protobuf messages
- Experience working with Docker and deploying applications to Kubernetes
- Experience with relational and low-latency databases
- Experience working with Celery
- A strong desire to work on ML/AI based products
- A desire to learn new technologies quickly
- A love of building systems from scratch
- A thoughtful approach to balancing quality and deadlines in fast-paced settings
- Excellent communication skills with a talent for building consensus and alignment
- Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
- Preferred Qualifications
- Experience building RAG (retrieval-augmented generation) based solutions
- Experience setting up and maintaining vector databases
- Experience writing production code in Java/Kotlin
- Experience building solutions on cloud infrastructure, particularly AWS
- Experience working with highly sensitive data in a healthcare environment
Responsibilities
- Be part of a team working on building machine learning and generative AI powered solutions
- Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
- Build services that expose machine learning and AI based products
- Deploy and manage various applications in production
- Coding every day
Skills
Machine Learning
Generative AI
Backend Infrastructure
Scalable Services
Production Deployment
Application Management
Lyra Health
Digital mental health care services for employees
About Lyra Health
Lyra Health offers mental health care services through a digital platform, primarily targeting businesses that want to support their employees. The company connects employees with a network of over 20,000 vetted mental health providers, offering services like therapy, coaching, and self-guided programs, accessible in-person or online. What sets Lyra Health apart is its concierge model, which provides personalized care and 24/7 support from care navigators. The goal is to improve employee wellness while helping businesses reduce healthcare costs.
Burlingame, CaliforniaHeadquarters
2015Year Founded
$671.3MTotal Funding
SERIES_FCompany Stage
Social Impact, HealthcareIndustries
1,001-5,000Employees
Benefits
Lyra for Lyrians - Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
Health benefits - Comprehensive medical, dental, and vision benefits, along with a free monthly membership to One Medical
Financial rewards - Generous compensation, 401k, and equity options
Paid time off - Guilt-free time to unwind and recharge, including four weeks of vacation and paid holidays
Tech stipend - Monthly stipend to spend on technology needs
Snacks & meals - Monthly Uber Eats and NatureBox credits to nourish body and mind
Risks
Increased competition from platforms like Ginger and Headspace Health.
Potential regulatory scrutiny over data privacy concerns with digital platforms.
Economic downturns may lead to reduced corporate spending on employee benefits.
Differentiation
Lyra Health offers a concierge member experience with personalized mental health care.
The company has a global network of 20,000 providers in over 200 countries.
Lyra's evidence-based approach results in 7x better outcomes than traditional plans.
Upsides
Lyra Health's partnerships with AT&T and CHA validate its market position.
The company has sustained a 26% reduction in healthcare costs over four years.
Lyra's expansion into teen mental health care addresses a growing market need.
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