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PicnicHealth
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
Job Source: PicnicHealthTavus
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: TavusSwish 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 AnalyticsCascading 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 AIContinua
San Francisco, CA, United States
As a Machine Learning Software Engineer, you will be responsible for training, fine-tuning, and evaluating ML models that power our consumer-focused AI applications. This will require building on-device and server-side models that are both accurate and efficient, capable of scaling up as our user base grows. This role requires a strong understandin
Job Source: ContinuaAcceler8 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 TalentSyntegra
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: SyntegraAdobe
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: AdobeSan Francisco, CA, United States
At OSARO we develop solutions to endow industrial robots with the level of autonomy needed to perform an unprecedented variety of complex pick and place tasks leveraging sophisticated robot control and neural network-based perception algorithms. You are a good fit if you are passionate about what you build, you feel a strong sense of ownership, and you love dynamic challenges. You care deeply about your team, you’re direct and you believe in doing what you say.
As a Machine Learning Engineer you will work on developing, deploying, monitoring, optimizing and debugging our Machine Learning models, infrastructure and systems that are core to our industrial robotic solutions.
Examples of the work you will be doing Porting our model inference-as-a-service code from Python to Rust
Optimizing our automated model retraining system
Debugging issues with deployed robots related to the machine learning systems
Migrating our machine learning computing cluster from the cloud to on-prem
Managing cloud permissions for various machine learning systems
Implementing & testing new machine learning/perception capabilities
Technologies you will work with Python
Rust
Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage)
Airflow
Kubernetes
Terraform
gRPC
Tensorflow
CI/CD
Qualifications B.S. or higher degree in math, physics, computer science or related STEM field
Strong Python programming skills (writing and debugging code)
Strong problem solving skills that are backed by a growth mindset and humility (we work on difficult problems that span multiple domains with imperfect information & real world resource constraints)
Strong communication skills (developing performant robotic solutions requires cross-team communication/collaboration)
Knowledge of key concepts in machine learning (particularly deep learning)
Legal authorization to work in the U.S. is required (we do sponsor H1B transfer)
Nice to haves Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)
Experience with robotics: arms, RGBD cameras, force sensors, etc
Experience deploying machine learning models and/or systems in production
Experience working in startups/startup-like environment
$140,000 - $180,000 a year Actual compensation is based on various factors, including but not limited to job-related skills, and experience. More About OSARO
OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic.
We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. AtOSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.
We are an equal opportunity employer who offers
Health, dental, vision, and commuter benefits & stipend
Catered lunches in a dog friendly office, phone and learning stipend
Unlimited vacation time
Excellent paid parental leave policy with the option for additional reduced and unpaid leave
The above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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