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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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Lead Machine Learning Engineer. Establishing engineering best practices and methodologies to ensure data transformations and computations are accurate, efficient, and tested.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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The role will involve building and managing multi-modal databases consisting of text, numbers and imaging data already within electronic health records at UCSF medical center and facilitate use of this database to train machine learning models towards enhancing ophthalmological disease diagnosis and management.
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This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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PhD in the field of Computer Graphics, Computer Science, Mathematics or Machine Learning with a proven academic or equivalent industrial track-record. The position requires a combination of education and experience in computer vision, computer graphics, robotics and machine learning.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. Familiarity with relevant scientific advancements, such as cell engineering, microscopy, genomics, clinical data, or lab automation.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
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Experience in architecting and implementing data engineering solutions for a small engineering team / product (1-20 ppl) 2+ years of software engineering experience in any of the following: ML Infrastructure, Data Engineering, Platform Engineering, Distributed Systems.
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Lead the implementation of Manufacturing Execution System (MES) solutions for process control/data management and drive data automation initiatives to enhance process monitoring and control as the representative from the wafer engineering team.
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Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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data engineering center machine learning jobs Company: Pnc in San Francisco, CA
FEATURED BLOG POSTS
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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.