Senior Machine Learning Engineer, Curai Health
$200-240k
+ Stock grants
Virtual chat-based primary care
Open for applications
Virtual chat-based primary care
21-100 employees
Open for applications
$200-240k
+ Stock grants
21-100 employees
Company mission
To expand healthcare access and deliver the best in class care to everyone.
Role
Who you are
- 5+ years of industry experience in ML/NLP, including building production systems
- “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need expertise in the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops
- "Product sense" or intuition on what to build: You will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions
- Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the audience's mental models and communicating ideas crisply to diverse stakeholders will be vital to the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes
- Experience and/or interest in mentoring junior engineers
- A self-starter and have a growth mindset
- Enjoy tackling complex problems in a scientific and data-driven way
- Thrive in ambiguity and love tackling complex problems that span multiple systems
- Enjoy thinking through trade-offs with mindfulness of near-term needs and Curai’s long-term strategy
- Are collaborative and appreciate working with people with diverse expertise
What the job involves
- You will develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference,
- Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights
- Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation
- Mentor interns and junior team members
- Interview diverse talent to build and grow a strong ML team
Application process
- Our interview process typically consists of an initial call to meet your future manager and a technical phone call with two future teammates
- The next round is a series of four technical phone calls where you meet cross-functional partners and other teammates at the company
- These interviews are set up in such a way as to allow you to learn more about us (mission, product, company culture, and vision) and for us to know more about you (your superpowers and strengths)
- We tailor our interview process to your background and interests
Our take
Telehealth has boomed in recent years but, like any technological shift, new problems have arisen. Even though the U.S. healthcare system has successfully adopted virtual care, challenges lie ahead to ensure it is used to deliver the best care to patients and at the right cost.
Curai aims to integrate technology into human processes so it can complement how doctor's work. It is a chat-based platform that uses artificial intelligence to help them make better and quicker decisions. Doctor's who see patients still have to operate electronic health records, which can be time consuming. Curai's algorithm scans through medical records and organizes key points in seconds. By leveraging AI to increase productivity, they plan to make the cost of care lower.
Curai Health is partly backed by billionaire venture capitalist Vinod Khosla, the father of the co-founder and CEO, Neal Khosla. The company has partnered with WorkWhile, an hourly labor marketplace, to provide free access to telehealth services for workers on its platform. Securing more key partnerships such as this will be a key factor in its future success.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Remote friendly (In fact, we don't have an office at all)
- Competitive pay (We target 65-75% of market ranges and offer pre-IPO options)
- Generous and flexible Time Off
- Focus on professional development ($500 annual stipend)
- 401K Match (up to 50% at 4% contribution)
- $250 home office setup when you start working here
- 100% Employer covered healthcare costs for every employee (health, dental, vision)
- Phone / internet stipend (tax free)
- Professional development workshops
- Remote-first
- Flexible schedule (family and fur baby friendly)
Company values
- Make the mission primary: Put patients and the interests of the company above all else
- Go the extra mile and roll up your sleeves to make the mission happen
- Challenge the status quo and assumptions behind it
- Think big, start small
- Have an ownership mentality: take initiative, fill gaps, and treat problems as opportunities
- Be resilient, optimistic, and play to win
- Be scientific: Base decisions on experiments, knowledge, and data
- Be candid and be empathetic
- Do what is right, even if it is difficult for you personally
- Always be learning: grow from feedback, give it to others, and constantly be looking for places you can improve
Company HQ
Palo Verde, Palo Alto, CA
Articles
Leadership
Neal Khosla
(CEO)Previously Co-Founder at Koko, Master of Computer Science at Stanford University.
Neil Hunt
(CSO)Previously Chief Product Officer at Netflix, PhD in Computer Science at University of Aberdeen. Current CPO of Vibrant Planet.
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