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Scribe
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: ScribePerplexity AI
San Francisco, CA, United States
Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to
Job Source: Perplexity AIThe 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 #398Job 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 BoardThe Learning Experience #398
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 conversation, person
Job Source: The Learning Experience #398Cascading 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 AIPicnicHealth
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: TavusSan Francisco, CA, United States
JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale.
Responsibilities:
Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
Implement backend microservices for large scale distributed systems using gRPC or REST.
Lead and drive vision for one or more of ML Platform services
Drive and maintain a culture of quality, innovation and experimentation
Work in an Agile environment that focuses on collaboration and teamwork
Basic Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics
Engineering, or comparable field of study, and/or equivalent work experience
5+ years of software experience, with 3+ years of relevant ML experience
Experienced with cloud technologies in AWS or GCP and container systems such as Docker or Kubernetes
Expertise in OO programming, either Python or Java
Excellent communication and people engagement skills
Preferred Qualifications:
Familiarity with Java or Python development ecosystem
Knowledge of technologies like Databricks, S3, Spark
Experience with graph-based data workflows such as Apache Airflow, Meson
Mentor colleagues on best practices and technical concepts of building large scale solutions
This is a remote position.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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