**About Probably Genetic:**
Probably Genetic is changing the lives of patients living with severe, complex
diseases. Our data platform is used by drug developers and patient advocacy
groups to develop and launch treatments for these patients. Our technology
discovers undiagnosed patients online, analyzes their disease state using
machine learning and at-home testing, and enables compliant communication with
patients. In doing so, we help patients access diagnoses, clinical trials, and
treatments as early as possible.
We are a tight-knit group of hard-working, ambitious problem solvers united by
a mission greater than ourselves.
We do well by doing right by patients. Our annually recurring revenue is
growing >6x year over year, we’re profitable, and our roadmap is packed with
innovations in bioinformatics, machine learning, and drug development. We are
building an all-star team to help us bring our vision to life, and we want you
to be a part of it.
Probably Genetic has raised multiple rounds of funding from Silicon Valley’s
best investors, including Threshold, Khosla, and Y Combinator, giving us the
ability to pay competitive salaries, offer great benefits, and provide
meaningful equity. We’re dedicated to ensuring your journey with us is
unforgettable, with incredible team retreats to places like Barbados, the
Alps, Mexico, Costa Rica, and Portugal, just to name a few.
**About The Role:**
We are looking for a Machine Learning Engineer who will be pivotal as we stand
up a brand new Machine Learning function and team. This role will report to
our Machine Learning Lead and will be based in San Francisco.
**What You Will Do:**
You will be an early member of the team tasked with building models to
accelerate the ability to achieve our mission – diagnosing 200 million
patients. The team’s initial objectives are to develop world class models to
find undiagnosed patients living with severe, complex diseases using a
combination of **computer vision, large language models (LLMs), classical ML
methods, and other technologies**. As the company grows, your scope will
expand to additional machine learning challenges in healthcare, genetics, and
drug development.
**As Part Of This Role You Will:**
* Develop groundbreaking machine learning systems to change the lives of patients living with severe, complex diseases
* Shape and execute our machine learning strategy in close collaboration with our Machine Learning Lead and our CTO
* Design and orchestrate machine learning experiments to improve the accuracy of our patient identification models
* Work closely with our engineering, growth, and business development teams to ensure our machine learning strategy is tightly integrated into all aspects of the business
* Own key patient finding metrics that flow directly into our highest-level company goals
**Who You Are** :
We are looking for a few specific things that will help you succeed in this
role:
* Advanced degree in Computer Science, Artificial Intelligence, Bioinformatics, or a related field with a strong emphasis on machine learning
* Minimum of 4 years of experience in machine learning
* Deep understanding of statistics and Bayesian modeling
* Experience in training deep learning and computer vision models as well as classical ML models
* Experience in designing and maintaining robust machine learning pipelines from training and monitoring to deployment, ensuring scalability and reliability
* Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding across diverse teams
* Experience in managing complex project and experiment timelines with cross-functional dependencies to deliver accurate models on time
**Some things that are not required, but you will learn on the job** :
* Experience with language model implementation, specifically using LLMs for retrieval-augmented generation (RAG) and complex automation workflows
* Expertise in developing and implementing machine learning products for severe, complex disease identification and phenotyping
**As with all new hires at Probably Genetic, you will also need to be** :
* A good person. We work with some of the most marginalized populations on the planet and empathy is key
* Patient-focused and motivated to have a lasting, positive impact on humanity
* Comfortable in a fast-paced, often ambiguous environment with rapid change
* Action-oriented and excited to build a company from the ground up
The salary range for this role is **$137,000 - $202,000** annually. Actual
compensation offered will depend on several factors including but not limited
to: work experience, education, skill level, and/or other business and
organizational needs.
**What we offer at Probably Genetic:**
* An engaging and supportive team
* Generous Flexible Time Off policy
* Hybrid, flexible work
* A “work from anywhere” policy, up to 4 weeks a year
* Competitive equity grants
* All-expenses paid quarterly team retreats
* Benefits including medical and dental
**This is a hybrid role that will require working on-site 3 days a week in San
Francisco. Local candidates only. Relocation is not offered for this role.**
Probably Genetic is committed to fostering a welcoming and inclusive work
environment for people of all genders, sexuality, ethnicity, socioeconomic
background and life experiences. We urge candidates of all backgrounds to
apply. If you require specific accommodations as you interview or consider
working with us, please let us know.
