Curai Health Logo

Curai Health

Machine Learning Engineer

Posted 11 Days Ago
Remote
8 Locations
Junior
Remote
8 Locations
Junior
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems to augment patient care features. Responsibilities include building ML production systems, conducting evaluations, and collaborating with diverse teams to translate product needs into actionable ML solutions.
The summary above was generated by AI

Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale. As the pioneer in deploying machine learning into clinical workflows, Curai Health enables its dedicated, specially trained clinicians to deliver primary care to more people at a fraction of the cost. Easy-to-use and convenient, Curai Health partners with insurers and health systems to keep patients engaged in their care over time, improving health outcomes and reducing costs.


Our company is remote-first and we consider candidates across the United States. Our corporate office is located in San Francisco.


Machine Learning Engineering at Curai

We are looking for a ML Engineer to join our AI team. Our team is responsible for Curai’s ML/automation technology. Your work will have a tremendous direct impact on provider and patient-facing ML-augmented applications, thereby providing low-friction, high-quality care to patients of Curai Health.


We are primarily a text-based service and NLP is at the core of our ML work. With recent advances in large language models, we see a tremendous acceleration in capabilities. A non-trivial part of our work involves appropriately leveraging and building on top of these models thoughtfully (and with scaffolding) to our use cases and backing them up with a sound automated evaluation. In addition, we use the in-house deidentified data as robust feedback data for continuously improving the ML models. 


Who You Are 

• 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 You’ll Do

• 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.

• Interview diverse talent to build and grow a strong ML team.


What You’ll Need

• 2+ 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 exposure to 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: With guidance, 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 mental models of the audience and communicating ideas crisply to this diverse set of stakeholders will be a vital part of the role. • You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.


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.


What We Offer

• Culture: Mission-driven talent with great colleagues committed to living our values, collaborating, and driving performance

• Pay: Competitive compensation and stock

• Wellness: Unlimited PTO, flexible working hours and remote working options

• Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave

• Financial: 401k plan with employer matching


The annual base salary range for this position is between $150,000 - $200,000. annually. Stock grants also play a key part in any offer, they increase your overall compensation package significantly based on company success. Please note that the base salary range is a guideline, and individual total compensation will vary based on qualifications, skill level, competencies, and work location.


Curai Health is a startup with a small but world-class team from high-tech companies, AI researchers, and practicing physicians to team members from non-traditional career paths and backgrounds. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors, including Morningside, General Catalyst, and Khosla Ventures.


At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission-driven teammates, who embody our core values, and appreciate our transparent approach.





Beware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at [email protected].

Top Skills

Machine Learning
Natural Language Processing

Similar Jobs

2 Days Ago
8 Locations
Remote
Hybrid
12,000 Employees
Senior level
12,000 Employees
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
4 Days Ago
4 Locations
Remote
3,000 Employees
Junior
3,000 Employees
Junior
eCommerce • Food • Software
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
2 Days Ago
4 Locations
Remote
3,000 Employees
Mid level
3,000 Employees
Mid level
eCommerce • Food • Software
In this role, you will design and build machine learning solutions, collaborate within cross-functional teams, and develop high-impact solutions to support Instacart's growth. You'll engage with a community of economists, data scientists, and engineers, and oversee projects from problem understanding to solution testing.

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account