- UpvoteDownvoteShare Job
- Suggest Revision
AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Senior Machine Learning Engineer w/Spotify USA, Inc. in NY, NY. Design, build, eval, & refine company's tools by hands-on Machine Learning (ML) dvlpmnt. T Jobs. Keywords: Machine Learning Engineer, Location: New York, NY - 10007.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are open to hiring candidates to work out of one of the following locations:Newark, NJ, USABASIC QUALIFICATIONSRequirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with parallel programming, machine learning, bioinformatics, cybersecurity, sparse linear algebra or graph databases is preferred. Experience with machine learning, bioinformatics, cybersecurity, sparse linear algebra, and/or graph databases are highly preferred.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Site Reliability Engineer, you will support massive amounts of data across everything from sports, content, marketing, ticketing, TV, finance, media, etc. If you are a Site Reliability Engineer interested in leading the build-out of massive data platforms for the premier Sports and Entertainment Enterprise in the world, please apply today.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
$234,700 a yearPart-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experienced in one or more major machine learning frameworks: Tensorflow, Pytorch, JAX, Keras, MXNet, Scikit-Learn. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Rust) & one dynamic language (Python, JavaScript, Ruby). Share our on-call rotation & be an escalation point to assess complex problems in real time across our high-traffic software systems.
$128,500 - $231,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Summary: We are actively seeking a skilled Site Reliability Engineer (SRE) to join our dynamic team. - Proven mid-level experience as a Site Reliability Engineer or similar role.
Full-timeExpandApply NowActive JobUpdated Today
training one on site machine learning engineer jobs in New York
FEATURED BLOG POSTS
How to Avoid a Bad Hire
"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
16 Tech Jobs You can Get Without a College Degree
You might think that if you don’t have a computer science, information technology, or related degree, then there’s absolutely no way you can break into the technology field and score a high-paying tech job. But this is a misconception. There are actually tons of tech jobs out there that don’t require a college degree. Instead, employers are more interested in the skills that you can offer. So, read on to learn more about how to land tech jobs without a degree.
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.
The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.
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.