- UpvoteDownvoteShare Job
- Suggest Revision
Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. Data science, machine learning, optimization models, PhD 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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
RemoteExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
$150,700 - $284,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
3+ years experience of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform. We use artificial intelligence and machine learning to create products and solutions that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Provide hands-on ML engineering to develop and customize machine learning algorithms (as a research code) in Python for achieving end results. Provide hands-on experience in developing deep learning model architecture from scratch using PyTorch or TensorFlow.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience or knowledge in LLM and hands on fine tune experience is a big plus. Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc. Hands on and can-do attitude, willing to learn new technologies.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
3+ years of research experience in natural language processing, machine learning, and related fields. Hands-on experience on state-of-the-art NLP / AI libraries and toolkits.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Previous work experience as a software engineer, data scientist or a software QA engineer with hands-on experience developing and testing codeRelevant work experience in technical fast paced program, project or product management role.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models. Competitive salary: The industry standard salary for Senior Machine Learning Engineers typically ranges from $120,000 to $200,000 per year, depending on experience and qualifications.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of research experience in natural language processing, machine learning, and related fields. Hands-on experience on production of NLP systems. Drive advanced research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields.
ExpandUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Similar Jobs (5) Senior Deep Learning Scientist, Conversational AI locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior Deep Learning Scientist, Conversational AI locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Deep Learning Algorithms Manager locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago NVIDIA pioneered accelerated computing to tackle challenges no one else can solve.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A solid foundation in NLP/ML-related algorithms, with comprehensive study and practical experience in specific areas of natural language processing and machine learning. Demonstrated hands-on abilities, proficiency in at least one framework such as TensorFlow or PyTorch, including its training and deployment specifics.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus. The compensation offered for this position will depend on your degree or progress toward degree , qualifications, experience, and work location.
ExpandApply NowActive JobUpdated 13 days ago
scientist machine learning hands on jobs in Sunnyvale, CA
FEATURED BLOG POSTS
How to Write a Short Bio
First impressions can be tricky. When meeting someone in person, it’s likely you have an elevator speech. These short, practiced introductions can help you share more about who you are, what you do for work and other facts about you. While this works well in a live, in-person context, there are many cases where professionals “meet” someone via written form - like social media, a resume, or published work. In these cases, your bio works as your first impression. So, here’s a step-by-step guide on how to write a short bio.
How to Conduct a Performance Review (With Examples)
In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
How to Recruit Passive Candidates
Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
5 Ways to Stretch Your Hiring Budget
Many businesses across the country have adjusted business operations to make it through the pandemic. After a period of hardship, many business owners, like yourself, are ready to start recruiting and rebuilding a bigger, more skilled workforce - only now you have to do it with a smaller hiring budget.