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Cynch AI
San Francisco, CA, United States
Come Revolutionize Accounting with AI We're a seed-stage AI startup led by a founding team of AI startup veterans on a mission to revolutionize the accounting industry. We're seeking an exceptional AI Engineer to help turn our vision into reality. We are combining reasoning, machine learning, and generative AI to augment and democratize the exper
Job Source: Cynch AITavus
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at Tavus (United States) | BEAMSTART Jobs Machine Learning Engineer Tavus United States Date Posted 11 May, 2023 Work Location San Francisco, United States Salary Offered $125000 — $170000 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1 available Backed
Job Source: TavusPicnicHealth
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at PicnicHealth (United States) | BEAMSTART Jobs Machine Learning Engineer PicnicHealth United States Date Posted 17 May, 2023 Work Location San Francisco, United States Salary Offered $150 — $185 yearly Job Type Full Time Experience Required 6+ years Remote Work Yes Stock Options No Vacancies 1 available Ove
Job Source: PicnicHealthSwish Analytics
San Francisco, CA, United States
Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passi
Job Source: Swish AnalyticsScribe
San Francisco, CA, United States
About us Scribe is where exceptional people come to do the best work of their careers. We are a Series A, product-led growth startup based in San Francisco. We help over 1 million go-to people document and share what they know. Scribe automatically creates step-by-step guides for any process, putting an end to hours spent taking screenshots and ru
Job Source: ScribeHealth
San Francisco, CA, United States
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and t
Job Source: HealthOrbital Sidekick
San Francisco, CA, United States
Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable r
Job Source: Orbital SidekickNLP PEOPLE
San Francisco, CA, United States
Come Revolutionize Accounting with AI We’re a seed-stage AI startup led by a founding team of AI startup veterans on a mission to revolutionize the accounting industry. We’re seeking an exceptionalAI Engineerto help turn our vision into reality. We are combining reasoning, machine learning, and generative AI to augment and democratize the expertis
Job Source: NLP PEOPLESan Francisco, CA, United States
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
30 days of vacation a year
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.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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