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We are looking for a Machine Learning Engineer to join our rockstar team. You’re a good candidate if you have experience in and enjoy building, fine-tuning, and deploying LLMs to enhance product capabilities and deliver impactful AI-driven solutions.
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Keep up with the latest advancements in machine learning and computational biology, introducing innovative approaches to the team and the scientific community. PhD in Computer Science, Machine Learning, or a closely related discipline.
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Apply predictive analytics, statistical modelling and machine learning/deep learning techniques for recommender systems, financial crime detection applications, risk analytics and text analytics.
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Data Scientist with Real World Data (RWD) experience is a must along with Clinical Trail data, Large Language Models (LLM), Machine Learning, Deep Learning and NLP techniques. Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment.
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MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning, and Computer Vision or equivalent experience. Analyze, design, and implement optimized GPU algorithms for large-scale data analytics and machine learning.
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As a Quantum Computing Research Scientist - Sr. Associate within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the field of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | Founding Team | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing.
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Using ecosystem: NIMs, Metropolis, Nemo, Riva, Triton, Via, and others, to develop solutions , on the foundation of machine learning models and algorithms for computer vision applications in public safety, retail, logistics, and many other industries.
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Serve as a Databricks SME, guiding the architecture and implementation of ETL pipelines, data lakes, and machine learning workflows using Databricks on AWS. Proficiency with Databricks, including building and managing data pipelines, data lakes, and machine learning models.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Stay Updated : Keep abreast of the latest developments in OneStream technology, including Machine Learning and GenAI. Optimize OneStream Architecture : Lead the end-to-end design for seamless data integration and optimal performance.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer. Collaborate with internal teams to find areas of opportunities for automation and machine learning.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
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As a Lead ML Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines. 8+ years of progressive experience as a data analytics, machine learning engineer or similar roles.
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machine learning jobs Title: engineer lead product in New York, Bentonville, Kansas
FEATURED BLOG POSTS
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.