Design and implement ML and AI models for healthcare products, collaborate with cross-functional teams, and mentor junior members.
AI at Curai
At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare delivery by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. Patients interact with advanced AI systems at every step of their care and follow-up. Licensed physicians review each case with the patient for the clinical decision in our integrated virtual clinic.
We ground our approach in rigorous research, continuous learning, and a deep commitment to clinical integrity. We focus on making a real impact: improving health outcomes, expanding access to care, and setting new standards for what trustworthy, patient-centered healthcare is. Read some of our latest publications.
Who You Are
None of these individually are hard requirements but they do describe the type of folks that we think would be most effective and happy at Curai.
• Passionate about advancing AI in healthcare to create meaningful impact and expand access to care.
• A self-starter with a growth mindset, eager to learn and take initiative.
• Skilled at tackling complex, multifaceted problems using a scientific and data-driven approach.
• Thoughtful in evaluating trade-offs, balancing immediate needs with Curai’s long-term strategic goals.
• Strong at prioritizing and focusing on the most impactful work; comfortable with ambiguity and challenging assumptions.
• Prefer fast-moving, collaborative projects over extensive solo efforts.
What You’ll Do
• Design, build, deploy and improve advanced ML and generative AI (e.g. large language model) solutions for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support).
• Drive technical strategy and own end-to-end AI initiatives from data exploration and modeling, evaluation, A/B testing, deployment, and continuous monitoring for improvement.
• Evaluate and integrate emerging research and algorithms to advance the company’s AI capabilities, keeping pace with the latest developments in AI.
• Collaborate cross-functionally with clinicians, researchers, engineers, product managers, data scientists, and designers to drive product improvements.
• Mentor and provide technical guidance to interns and junior team members, fostering a culture of learning and innovation.
What You’ll Need
• 6+ years of industry experience building and deploying robust ML/AI models for user-facing or data-driven products.
• Experienced with the full ML lifecycle: data analysis, model development, evaluation, deployment, and monitoring.
• Hands-on experience building AI systems using large language models.
• Proficient in Python and production-quality software engineering practices.
• Skilled in working with real-world data, especially healthcare data is a huge plus.
• Effective collaborator and communicator in fast-paced, cross-functional teams.
• MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
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, and flex spending plans.
• Financial: 401k plan with employer matching.
The annual base salary range for this position is between $240,000- $260,000annually. 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.
Top Skills
AI
Large Language Models
Ml
Python
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.
Top Skills:
AngularjsApi GatewaysAWSAzureCatchpointCdnsCSSDell BoomiHTMLJavaScriptKafkaReactSplunkSQL
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Staff Machine Learning Engineer, you'll build production models, improve machine learning features, and ensure data infrastructure for fraud detection and more. You'll leverage your extensive experience in machine learning and collaborate to drive product intelligence.
Top Skills:
Advanced StatisticsApache AirflowComputer VisionData MiningDeep LearningFlinkGradient BoostingHadoopHiveInformation RetrievalKafkaKinesisLogistic RegressionMachine LearningNatural Language ProcessingPythonSnowflakeSpark
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
This role involves designing and building advanced ML models to protect against fraud and enhance user experience while mentoring lower-level engineers and influencing technical roadmaps.
Top Skills:
Apache AirflowGraph Neural NetworksKafkaLlmsLstmPythonPyTorchSparkTensorFlow
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
