Posted:
1/13/2025, 10:50:19 AM
Location(s):
California, United States ⋅ San Francisco, California, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of individual trial participants, enabling smaller and more efficient clinical trials to bring effective medicines to patients sooner.
Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.
Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and recently completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
The Role
Unlearn builds and delivers innovative products to biotech and pharmaceutical companies in a regulated environment. We are seeking a DevOps/Infrastructure Technical Lead who can drive execution on critical infrastructure and MLOps initiatives while effectively communicating their strategic importance to leadership. This role will focus on leading and mentoring a small team, prioritizing key infrastructure projects, and ensuring successful delivery of our platform capabilities.
This position offers the opportunity to shape our infrastructure strategy, lead technical initiatives, and work cross-functionally with engineering teams across Unlearn. You'll drive critical decisions about our infrastructure architecture, mentor team members, and help translate complex technical concepts into business value for stakeholders. You'll work at the cutting edge of AI in healthcare while building and maintaining the foundation that supports our digital twin platform.
Responsibilities
Lead and execute infrastructure and MLOps initiatives, driving technical decisions and ensuring alignment with business priorities and timelines
Develop and implement infrastructure roadmaps, effectively communicating progress, challenges, and resource needs to leadership
Mentor and grow a small team of infrastructure engineers, fostering technical excellence and promoting best practices
Architect and implement scalable cloud infrastructure solutions that support both internal development and production deployments
Guide the team in developing infrastructure solutions for deployments across internal and customer cloud environments
Establish and maintain infrastructure best practices that balance reliability, efficiency, security, and compliance requirements
Partner with software engineers and data scientists to understand their infrastructure needs and translate them into actionable solutions
Ensure infrastructure decisions and implementations align with security best practices and regulatory requirements
Requirements
7+ years of experience in DevOps or infrastructure roles, with 3+ years leading infrastructure or MLOps initiatives
Track record of successfully delivering complex infrastructure projects and driving technical decisions
Experience mentoring small teams and demonstrated ability to prioritize competing demands
Strong communication skills with experience presenting technical concepts to leadership and stakeholders
Extensive experience with cloud platforms (AWS; Azure and GCP a plus), containerization (Docker, Kubernetes), and infrastructure-as-code tools (Terraform)
Proven ability to architect and implement MLOps solutions in production environments
Strong programming, scripting, and automation skills
Experience with SRE practices, monitoring tools (e.g., Prometheus, Grafana), and logging systems (e.g., ELK stack)
Familiarity with compliance requirements in regulated industries, such as healthcare or life sciences, is a plus
Generous equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Support for H1B, TN, and E-3 Visa change of employer transfers
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
Website: https://www.unlearn.ai/
Headquarter Location: San Francisco, California, United States
Employee Count: 101-250
Year Founded: 2017
IPO Status: Private
Last Funding Type: Venture - Series Unknown
Industries: Artificial Intelligence (AI) ⋅ Bioinformatics ⋅ Clinical Trials ⋅ Life Science