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We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What you’ll do Sight and Sound play a large role in our day-to-day experiences.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) 5+ years of experience using AI/ML , data science software (e.g., Python-based tools.
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Bachelor of Science in Engineering (Electrical, Mechatronics, Computer Science) or equivalent work experience. Knowledge of Rockwell Automation/Allen Bradley PLC, computer programming, Structured Query Language (SQL), and the engineering tools associated.
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MS or PhD in Computer Science, Statistics, Applied Mathematics, Physics or other quantitative fields with focus on AI, Machine Learning, Mathematical Algorithms, Probability and Statistical Modeling.
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Related curriculumSuccessful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance.
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Employer will accept a Bachelor’s degree in Computer Science, Biostatistics, Statistics, Data Science, Engineering, Biology, Pharmacy or related field and 60 months of experience in the job offered or in a Senior Statistical Programmer II-related occupation.
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Quantum Information Science is at the frontier of several traditional research disciplines including but not limited to condensed matter physics, atomic, molecular, and optical physics, information theory, pure and applied mathematics, computer science, chemistry, electronics, photonics, and nanotechnologies.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. The ideal candidate will have a strong background in various aspects of data science, including machine learning, computer vision and Spark.
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B.S. in Software Engineering, Computer Science, Graphics or Game Design, or applicable engineering or science field. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Data science, machine learning, optimization models, Master’s degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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A master's degree in computer Science, Information Assurance, Information Security Systems Engineering, or related discipline from an accredited college or university and ten (10) years of relevant professional experience providing Network Engineering OR a Bachelor's degree from an accredited college or university in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management or related discipline and twelve (12) years of relevant experience.
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BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Applies current analytical and logical thinking to the design, architecture, development, evaluation, testing, and integration of computer systems, appliances, and networks involving the architecture and implementation of the Splunk product.
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Bachelor's degree in IT related fields (Computer Science, Computer Engineering, Information Technology, etc.) The Staff IT System Engineer is one of the primary person to manage cooperate backend systems, deploy new solutions follow Supermicro IT and Infosec's guideline.
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computer science jobs Title: software engineer Company: Molecula
FEATURED BLOG POSTS
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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.