- UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Python, CUDA, TensorFlow, and PyTorch. We're currently looking for research engineers with specialized skills in LiDAR, camera, and radar perception technologies to enhance our autonomous driving systems' ability to understand and interact with complex environments.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
O AI GPU Software Roadmap Strategy and Product Management - Spanning all horizontal software servicing Intel AI GPUs (e.g., oneAPI, MLIR, TensorFlow, PyTorch, JAX, OpenXLA, Spark, Triton, Intel Neural Compressor, MLPerf, DeepSpeed, BigDL, etc.
$222,480 - $400,720 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks. Masters with at least - years of experience; Strong software engineering practices in Python with machine learning development experience towards a product not just academical settings Strong Machine Learning background with deep understanding of different types of machine learning algorithms (, CNN, RNN, LSTM, Transformer, and Reinforcement Learning.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Ways to stand out from the crowd:Worked on a deep learning framework such as JAX, Pytorch or Tensorflow. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence.
$120,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Optional) Experience in machine learning (TensorFlow, PyTorch. robotics and computer vision software (ROS, PCL, OpenCV, etc). Stanford Vision and Learning (SVL) Lab is initiating a new research engineer position, designed to give you hands-on experience in cutting-edge research at the intersection of artificial intelligence and robotics.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong Python programming background and in-depth knowledge of at least one framework amongst PyTorch, TensorFlow or MXNetExperience implementing inference logic from first principles using low level subroutines like BLAS, CUDA Kernels or C.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience in AI model development, training, and deployment, inclusive of frameworks like TensorFlow, PyTorch or Apache MXNet. As the Principal product manager of AI Compute Infrastructure and Solutions for Edge Computing as a Service, you will have a unique opportunity to transform many industries with adoption AI. You will be responsible for driving the roadmap, strategy and execution of infrastructure solutions that support efficient and scalable AI model training processes.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
PREFERRED EXPERIENCE: Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax, Deepspeed, Mosaic, Horovod, Collasal.ai) Experience with GPU kernel programming using CUDA, HIP or OpenCL. Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI) Experience training models in a clustered environment Experience deploying inferencing models.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
ExpandApply NowActive JobUpdated Today
tensorflow job in Mountain View, CA
FEATURED BLOG POSTS
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
How To Make $100K a Year – No BS Strategies & Advice
If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.