- UpvoteDownvoteShare Job
- Suggest Revision
The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
MINIMUM QUALIFICATIONS:Must be enrolled in a PhD program focused in Geophysics, Seismology, Machine Learning, Physics, Mathematics or Statistics. Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$105,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
7+ years of software and machine learning engineering experience in an industrial or applied research environment. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct research to conceptualize, design, and/or implement innovative solutions for autonomous driving including but not limited to applications of artificial intelligence, machine learning, optimization, and probabilistic robotics.
InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Machine Learning Engineer - Knox Cloud to join the Knox Cloud Service team and help us shape future of our role in the machine learning domain. TITLE: Senior Machine Learning Engineer - Knox Cloud.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
To be successful, you'll be partnering with machine learning, search, product, data, and full stack teams to identify, define and build elegant solutions. The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, provide a universal search interface, and common use cases across different applications.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Required Skills & ExperienceMasters Degree in Computer Science, Applied Mathematics, Linguistics or related discipline (PhD preferred). This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild. PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health or biological sciences.
$257,200 - $399,300 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
MACHINE LEARNING ENGINEER (Contextual) Background: AnchorFree is a fast growing technology company in Silicon Valley that makes a significant impact on people's lives around the globe by enabling free access to all information and content online and enabling millions of users to browse the web securely and privately.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
This role requires strong experience in leading research and development in digital health, especially applying AI, Machine Learning, and Generative AI / LLM to develop novel health products that leverage wearables, smartphones, apps, and health data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
$150ExpandApply NowActive JobUpdated Yesterday
machine learning applied mathematics jobs Title: learning in Mountain View, Anoka, Minnesota
FEATURED BLOG POSTS
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.