- UpvoteDownvoteShare Job
- Suggest Revision
Design, prototype, build and deploy NLP systems that extract valuable insights from league data, historical matchups, open source data, etc. You will work closely with our team of Data Scientists and Data Engineers to build and deploy NLP systems that extract valuable insights from various sources to include open source data, league/team data, and historical data, amongst others.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our ML Engineers work in close collaboration with Data Scientists, ML Modelers and Software Engineers, Product and Design from across Cash App. Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to build better ranking and recommendation solutions.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will collaborate with experimental scientists to design and interpret experiments that validate and refine machine learning-generated hypotheses about novel MOAs. You will contribute to and drive publications, present results at internal and external scientific conferences, and help make code and workflows open source.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
$177,000 - $245,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience applying machine learning (in particular deep learning) to health data, time series problems or both. As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate will have extensive experience in deep learning, and natural language processing (NLP). Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. Experience working on open source projects a bonus.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features. At least 5 years building analytical/data driven products in an industry setting developing and deploying machine learning and NLP-based solutions.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Learning and Development resources. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
ExpandApply NowActive JobUpdated Today
learning source jobs Title: data Company: Md Anderson in San Francisco, CA
FEATURED BLOG POSTS
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?