- UpvoteDownvoteShare Job
- Suggest Revision
6+ years of relevant experience across machine learning engineering, software engineering, data scientist, or data engineering roles (3+ years in data and/or machine learning focused roles.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models. We apply a unique hybrid approach to AI, combining numeric AI techniques like machine learning with higher-order symbolic AI and expert human knowledge to deliver intuitive cognitive reasoning and information.
$144,532 - $163,737 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning. Prepare real or synthetic data sets to drive learning algorithms, fine tune large-scale AI models, and characterize system performance.
$80,900 - $164,300 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for our client in their global expansion.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Job Description: We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Rockstar Games is on the lookout for a passionate Machine Learning Engineer with strong software development skills who possess es a passion for both games and big data.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models. You'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning solutions from conceptualization to production.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management.
ExpandApply NowActive JobUpdated 2 days ago
machine learning software engineer data scientist jobs Company: Clearancejobs
FEATURED BLOG POSTS
Tightening the HR budget in 2023
With the state of the economy still uncertain, 2023 is expected to be approached with much anticipation. Human Resource leaders have many concerns, including how they will manage to accomplish their goals with budget belts already getting snug. Let’s look at some of the factors that the new year is projected to bring for HR and how to prioritize budgets to reach human capital objectives.
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
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.