- UpvoteDownvoteShare Job
- Suggest Revision
This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$208,000 - $244,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Work with trial investigators and the sponsor’s biometrics team to support development and timely execution of bioinformatics and statistical analysis plans for collaborative studies that leverages biomarker and clinical data from the trial to address clinically and/or translationally relevant questions.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Or MS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with 6+ years of relevant experience. Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company.
$180,625 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This will be a hands-on / applied machine learning role with a focus on Generative AI, RAG, and document understanding (Taxonomy, Digitization, Classification, Extraction, Validation, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in statistical modeling, machine learning algorithms, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL. As the Principal Data Scientist for Enterprise Data Science at Gap Inc., you will play a pivotal role in leveraging advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance operational excellence across all Gap Inc. brands.
$196,800 - $260,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
PhD in a related field of Computer Vision, Computer Graphics, Natural Language Processing or other AI/Machine Learning related field. Deep knowledge of modern machine learning techniques, Bayesian filtering, information theory, and 3D geometry.
$125,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$350,000 - $450,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our mission is to develop robust and scalable infrastructure solutions that empower data scientists and machine learning engineers to build, deploy, and manage cutting-edge machine learning models.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Machine Operator Role Is Responsible For. You will assemble PCBAs for our world-class hardware that is used in lithium-ion battery systems globally. Stafl Systems is dedicated to advancing all applications of lithium-ion battery technology to achieve a clean energy future.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$247,800 - $371,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will work on 7 different platforms, ranging from influencer facing tools, client facing tools, data mining and Machine Learning engines to find the most relevant influencers among social graphs of hundreds of millions, computer vision algorithms to extract meaningful data from instagram pictures, big data structures etc.
Full-timeExpandApply NowActive JobUpdated Today
machine learning data mining jobs Title: machine learning in South San Francisco, CA
FEATURED BLOG POSTS
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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."