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PicnicHealth
San Francisco, CA | Full Time
$127k-157k (estimate)
4 Days Ago
PicnicHealth
San Francisco, CA | Full Time
$125k-142k (estimate)
4 Days Ago
Machine Learning Engineer
PicnicHealth San Francisco, CA
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$127k-157k (estimate)
Full Time 4 Days Ago
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PicnicHealth is Hiring a Machine Learning Engineer Near San Francisco, CA

[Full Time] Machine Learning Engineer at PicnicHealth (United States) | BEAMSTART Jobs Machine Learning Engineer PicnicHealth United StatesDate Posted17 May, 2023Work LocationSan Francisco, United StatesSalary Offered$150 $185 yearlyJob TypeFull TimeExperience Required6 yearsRemote WorkYesStock OptionsNoVacancies1 availableOverviewHealthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights across dozens of diseases to ultimately get the right treatments into patients hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date weve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impacts their lives.Founded in 2014, PicnicHealth partners with 13 of the top 30 biopharma companies and we have raised over $100 million in venture capital from investors including Amplify Partners, Felicis Ventures and B Capital Group.And we are just getting started! If you are looking to join an award winning, mission-driven, motivated team that is making a real impact across millions of peoples lives, PicnicHealth might just be the place for you.The OpportunityMachine learning is at the heart of our work and technical strategy. Our company sifts through the messy mountain of data that captures each patients care journey in whatever format it exists in the real world. To do that, weve built a human-in-the-loop AI/ML pipeline that ingests medical records and scans, converts them into structured data, and then synthesizes them into a form that is directly useful to patients, clinicians, and researchers. This process enables us to build products that improve patient/doctor communication and care decisions, or develop the next generation of data-driven life-sciences studies.Our Machine Learning teams goal is to capitalize on the latest technology to both expand our core capabilities and to improve the efficiency with which we process records in our existing pipeline. Our latest strategic initiatives have already begun putting large language models (LLMs) at the heart of our predictive techniques. We are looking for an ML Engineer who is fascinated by what it takes to use emerging techniques to solve real business problems today, and what it takes to launch that cutting edge tech into production at scale. In this role, you'll develop new prediction models using techniques like instruction fine-tuning on top of LLMs, build infrastructure to productionalize both training and inference, and help our team accelerate existing strategic projects.As an ML Engineer you will:Develop machine learning models to improve PicnicHealths product and processing efficiencyApply expert software development skills to help turn newly developed models into deployed services integrated within our application infrastructureSurvey and incorporate recent advances in AI/ML research into our set of core capabilitiesHelp us expand and improve our machine learning pipeline for scale, including systems for distributed training, versioning, deploying, and testing modelsHelp expand a world-class ML team by attracting, interviewing, and onboarding future team members during this exciting time of growthYou are a great fit if you:Have a Ph.D. degree in a related technical field such as Computer Science or Physics, or have a bachelors and have built production AI/ML softwareHave hands-on experience with technologies in our stack, such as pytorch, kubernetes, and deepspeedHave worked on all steps required to bring an AI/ML model to production from ideation to deploymentHave deployed Python code into production for 3 yearsDisplay a solid understanding of the latest AI/ML research trends and techniques, coupled with a commitment to continual learning and professional growth in these areas.We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.Perks & Benefits @PicnicHealthAt PicnicHealth you get to solve real problems with real solutions, great tech, and great people.Were a remote first company, with teammates spread across the US. We aim for quarterly in-person gatherings, expect to travel up to 4 times a year. For our team members in the Bay Area we can offer a hybrid set up to work from the SF office on a flexible schedule.You also get:Competitive salaryComprehensive benefits including above market Health, Dental, VisionFamily friendly environmentFlexible time off401k planFree PicnicHealth accountEquipment and internet funds for home office set upEqual Opportunity StatementPicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.About PicnicHealth Empowering Patients for Deep Real World Data Company Size: 51 - 250 People Year Founded: 2014 Country: United States Company Status: Actively Hiring Looking for Partners Looking for Clients Raising Funds Share This JobMore Full Time Jobs Sales Development Representative (SDR) Singapore, SingaporeFull Time$6000 - $12000 yearlyCustomer Success Associate San FranciscoFull Time$45000 - $55000 yearlyCustomer Success Associate San FranciscoFull Time$45000 - $55000 yearlySr. Account Executive: Healthcare San FranciscoFull Time$150000 - $250000 yearlyAccount Executive: E-Commerce San FranciscoFull Time$120000 - $200000 yearlyMore Companies Hiring Karate Labs United StatesNimbleRx United StatesRespaid United StatesAutomat (formerly lasso) United StatesSpruce Systems United StatesBEAMSTART brings you the latest news, databases, and jobs from all around the world on startups, technology, and business. Stay updated with industry news, plug-in to exciting community events, and discover incredible career opportunities with the world's most innovative companies.Discover Jobs Full TimePart TimeContractInternshipVolunteerCompaniesCandidatesPost a JobFor RecruitersOur Company NewsJobsDatabaseAbout UsDownload AppMore Copyright 2023 BEAMSTART . All Rights Reserved.#J-18808-Ljbffr

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Job Summary

JOB TYPE

Full Time

SALARY

$127k-157k (estimate)

POST DATE

04/23/2024

EXPIRATION DATE

05/06/2024

The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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