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The Learning Experience #398
San 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
Job Source: The Learning Experience #398PicnicHealth
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: SyntegraSan Francisco, CA, United States
About The Role
At Bunkerhill, we are laser focused on helping researchers bring their algorithms to the clinic. To that end, we have launched a new initiative: to build a foundation model for medical imaging!
Today, when a researcher is interested in building an algorithm, they typically need to start from scratch (or use models pretrained on ImageNet) and train on a large quantity of data. To make this process faster and to lower the barrier to entry, we're building a foundation model that researchers can fine tune to build clinically-useful downstream algorithms.
The goal of this initiative is to enable researchers within the consortium to build robust, generalizable algorithms using much less data and then use the Bunkerhill Consortium to validate their algorithm, obtain regulatory clearance, and distribute it for clinical use!
We are looking for a full-time Machine Learning Engineer to join our in-person team in our office in SoMa in SF.
Responsibilities include
Design, develop, and deploy machine learning algorithms and models, with a focus on Deep Learning and Computer Vision techniques.
Define and operate batch processing pipelines.
Create and maintain user documentation to help researchers onboard their AI models.
Develop large deep learning models with self-supervised learning on multimodal data.
Communicate findings to other engineers, operators, and leadership.
Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
Conduct research to stay abreast of the latest advancements in machine learning, deep learning, and computer vision.
Optimize algorithms for performance, scalability, and efficiency, considering real-world deployment constraints.
Evaluate and validate models using appropriate metrics and datasets, ensuring robustness and reliability.
Mentor junior team members and contribute to knowledge sharing within the organization.
Requirements
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
3+ years of work professional work experience in a fast-paced, high-growth environment.
Experience in developing machine learning solutions, with a focus on Deep Learning and Computer Vision.
Experience with Python, PyTorch, TensorFlow or similar frameworks for machine learning. to train deep learning models with supervised learning.
Experience with cloud platforms (e.g. AWS, GCP, Azure).
Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g. GitHub Actions, GitLab CI, Circle CI, Jenkins) is a plus.
We are not accepting new grad applicant’s at this time
Benefits
Competitive salary and equity package
Comprehensive health, dental, and vision benefits
Hybrid work schedule (3 days in office)
Professional development opportunities
Dynamic and inclusive work culture with a focus on innovation and collaboration
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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