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Adobe
San Francisco, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeSyntegra
San Francisco, CA, United States
San Francisco, CA based or remote (US only) Job Overview We are looking for a senior MLE to help develop our state-of-the-art generative AI synthetic healthcare data engine. As a MLE you will be responsible for building, training, testing, and debugging advanced Deep Learning Models. The ideal candidate will be an expert in deep learning, generati
Job Source: SyntegraAcceler8 Talent
San Francisco, CA, United States
A highly competitive salary + equity + benefits The opportunity to work on a complex and groundbreaking vision Medical, Vision, and Dental coverage 401K Plan Benefits A highly competitive salary + equity + benefits The opportunity to work on a complex and groundbreaking vision Medical, Vision, and Dental coverage 401K Plan Machine Learning Engin
Job Source: Acceler8 TalentTrendUp
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at TrendUp (United States) | BEAMSTART Jobs Machine Learning Engineer TrendUp United States Date Posted 11 Jul, 2023 Work Location San Francisco, United States Salary Offered $90000 — $150000 yearly Job Type Full Time Experience Required No experience required Remote Work Yes Stock Options No Vacancies 1
Job Source: TrendUpJob Board
San Francisco, CA, United States
By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create
Job Source: Job BoardAutodesk
San Francisco, CA, United States
Job Requisition ID # 24WD78712 Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML) @Autodesk The DXC-ML Team is responsible for delivering Machine Learning features that enhance the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. We aim to help our customers through
Job Source: AutodeskCascading AI
San Francisco, CA, United States
Casca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding. What you'll do: Contribute rapidly to our core software platform that automates the lendi
Job Source: Cascading AICleanlab
San Francisco, CA, United States
At Cleanlab you will Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset. Determine how to best leverage new Generative AI advances/infrastruct
Job Source: CleanlabSan 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
Overview
Healthcare 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 we’ve 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 people’s lives, PicnicHealth might just be the place for you.
The Opportunity
Machine learning is at the heart of our work and technical strategy. Our company sifts through the messy mountain of data that captures each patient’s care journey in whatever format it exists in the real world. To do that, we’ve 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 team’s 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 PicnicHealth’s 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 growth
You 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 @PicnicHealth
At PicnicHealth you get to solve real problems with real solutions, great tech, and great people.We’re 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 up
Equal Opportunity Statement
PicnicHealth 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 Job
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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