- 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 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Curiosity: we keep our minds open and never stop learning. AData Platformteam with 5 Data Engineers responsible for ingesting large amounts of data from multiple different sources, creating and maintaining a core data model which aims at making data standardized, reliable and easily available.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Automation Engineer on the Behavioral Automated Triage team, you will interrogate data at scale, perform data engineering, leverage deep learning models (i.e. foundation models and language models), and respond to the evolving data needs at Zoox.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Optimize and fine-tune machine learning models for performance and efficiency. 1 + years of experience in machine learning engineering or a related field. Stay updated on the latest advancements in machine learning and AI technologies.
ExpandApply NowActive JobUpdated 6 days ago
machine learning jobs Title: sr data scientist Company: Ibm
FEATURED BLOG POSTS
Internship Cover Letter Tips with Examples
Until now, college has been about learning, absorbing, and experiencing. It’s not until you become eligible for an internship that things start getting real—real-world experiences using real-life scenarios. Applying for internships takes time, and there’s no college course on “how to apply for jobs.” (We’d sign up immediately if there was, though!) But here's a spoiler alert: most internships require a cover letter. And while this may seem like a burden, it’s actually a blessing.
5 Practical Ways to Remove Bias from your Hiring Process
Many employers think their hiring process is perfect. However, research shows that the hiring processes are generally impartial and unfair, especially if you are part of certain demographics. Women, people of color, people with disabilities, or even people in lower socioeconomic status are more likely to be subject to implicit bias. As diversity and employer branding become major aspects of business, it is important that employers take the lead to identify and remove bias from the hiring process. So, here are 5 practical ways to get you started.
Tips to Get Your First Job Confidently
Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.
Tips for a Good Character Reference Letter with Examples
Hiring managers love a resume laden with relevant skills and qualifications. Hard skills specific to the role, like SEO strategy or Java programming languages, are easy to qualify using achievements or facts and figures. But how exactly can they verify personality traits, work ethic, relationship management skills, or curious nature during an interview when they barely know you?
How to Dress on the First Day of Work (Men & Women)
You did it! Out of hundreds of applicants and dozens of people interviewed, you’re the one who got a new job. Congrats! Now comes the question of how to dress on the first day of work.
Why College Students Should Work While in College?
College is a special part of our lives. It’s a time when we prepare for our dream job while creating some of the most memorable moments in life. That said, college life can also be stressful. Not only do we have to spend long hours studying, writing and researching, but we also have to deal with increased tuition fees and living expenses.
5 Ways to Measure Candidate Experience
Your candidate experience is made up of 4 essential parts