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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Join a world-class team of silicon and distributed systems experts at Enfabrica as a Package Design Engineering Lead. You have the opportunity to be part of building a groundbreaking new category of products that revolutionize the performance and scalability of next-generation AI and accelerated computing systems, and to help solve key infrastructure challenges facing our customers.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Lead and participate in technical, product, and design discussions focused on database systems and Apache Spark.
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Lead and expand the Machine Learning team, driving the development and deployment of AI technologies within our product suite. Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments.
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The Quality Systems Manager is an advanced technical resource in the principles and application of quality systems and compliance. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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As a Principal System Architect, you will be responsible for defining system solutions for the data center using Lightmatter’s innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms.
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
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Lead large-scale machine learning development projects by reviewing requirements; translating requirements into technical solutions; developing code; communicating status to team and stakeholders.
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machine learning technical lead jobs Title: data engineer Company: Amazon in Stanford, CA
FEATURED BLOG POSTS
5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
How to Write a Job Description?
It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
How to Get a W2 From Previous Employers
When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
How to Ask Someone to be a Reference + Email Templates
One part of the job-hunting process that frequently gets overlooked is putting together a list of good references. Most of the time we focus on creating the perfect resume, writing an awesome cover letter, and getting our hands on letters of recommendation. We think about what outfit we’ll wear to the job interview, how we’ll answer those tricky questions, and what our career plan looks like. But, in fact, having multiple references lined up who will speak favorably about you to a potential employer is critical to landing a job. This aspect of job searching really can’t be ignored.
Job Rejection Email Response with Examples
Glassdoor estimates that, on average, there are about 250 applicants for every job vacancy out there. If you’ve ever applied for a job, the odds are that you’ve received the dreaded job rejection email.
Structured vs Unstructured Interviews
The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?