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As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$164,200 - $241,700Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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Minimum of 3 years of hands-on data analysis experience in full-time professional, data-heavy, and machine learning focused role. Experience developing and deploying machine learning and statistical models.
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Experience with machine learning platforms and distributed systems such as AWS sagemaker, Google Cloud Vertex AI, Azure ML Studio, Databricks, You are hands-on and have strong programming skills and background in one or more of the following AI/ML domains: deep learning, natural language processing (NLP), and analytics.
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. We are looking for a strong ML engineer to build new capabilities in the Revenue Operating System to include Air Cargo demand forecasting and ML-based pricing capabilities.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Central to Data Production is the HIPE application (Human-in-the-Loop Processing Engine), which uses sophisticated machine learning and carefully-designed UI/UX to help experts to quickly and accurately extract data from medical records as we receive them.
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Senior Software Engineer - Machine Learning Platform. Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA. Data Science / Machine Learning => 5/10 experience.
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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing.
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Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction.
$7,650 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passionabout continuously learning new technologies, frameworks, and services.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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machine learning jobs Title: devops engineer Company: Applied Materials in San Francisco, CA
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Virtual Reality Job Interviews
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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.