- UpvoteDownvoteShare Job
- Suggest Revision
A Glimpse into the Daily Routine of a Machine Learning Engineer. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
PhD in Chemistry, Artificial Intelligence, Machine Learning, Data Science, Material Science, or a closely related field. Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 3+ years of experience in machine learning research and development, with a focus on large language models and high-volume, data-intensive applications. Demonstrated track record of developing and implementing machine learning models in real-world applications, preferably in the context of quantitative trading or algorithmic trading.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning and Deep Learning (Some or all): Deep neural networks(CNN, RNN, LSTM), Supervised methods such as Tree based models (random forest, xgboost, Light GBM), K-NN, SVM as well as Unsupervised methods such as Clustering (Hierarchical, K-mean, K-medoids), Dimensionality reduction (PCA.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our client is a pioneer within the programmable RNA medicine space and are looking for an expert of Machine Learning, Artificial Intelligence, and RNA Biology to help shift the paradigm of novel drug development.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate closely with the machine learning team to structure data effectively for chatbot/LLM enhancements, ensuring alignment with overall growth strategies. Jolt is on the lookout for a Data Lead to oversee its Amazon Redshift environment, which houses all of its data sources, its LLM and machine learning algorithm, and both the internal team and external client data visualization.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The team is seeking a clinical research data scientist / biostatistician who will report to the Manager of Health Technology Research and work alongside clinical research data scientists, biostatisticians, machine learning and signal processing scientists to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience applying and extending statistical techniques, including data-driven, joint probability methods, and machine learning methods; Current experience and interest in machine learning/artificial intelligence (surrogate or metamodeling) from a coastal, hydrologic, geoscience or natural hazard perspective.
ExpandUpdated Today
machine learning jobs Title: sr data scientist Company: Wells Fargo Bank in New York, NY
FEATURED BLOG POSTS
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
How to Answer the Interview Question: What is Your Communication Style?
As a job searcher, you probably have so many questions about job searching. However, once you've landed an interview, your excitement takes your questions to a whole new level. What will you wear? Will you know how to answer all the questions? Have you practiced giving nice firm handshakes?