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The Opportunity:
This role will be a full-time, permanent position and a multi-disciplinary, underpinning the laboratory support operations. An opportunity to lead on activities as dedicated trainer supporting the team and the service lead. Working directly but also indirectly with Scientist and supporting them with glassware processing, housekeeping, and risk assessment
Majority of your time will be supporting laboratory operations and rest of the time will be desk-based completing vital documentation.
Are you Laboratory Operative with 1/2 years of experience in professional laboratory setting and want to build on it? Do you want to join industry leading company? If so, apply and let's talk!
The team
You will join dedicated group of up to 9 associates and have a strong sense of teamwork and supporting each other. They work independently with full hands-on support from their manager when it's needed.
Working hours: Monday to Friday from 7:00am/8:00am - 3:00pm/4:00pm
What we’re looking for
How you will thrive and create an impact
#LI-Onsite
Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
Why Avantor?
Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today!
EEO Statement:
We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Privacy Policy:
We will use the personal information that you have submitted to us in order to consider your application for the relevant role.
Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests.
3rd Party Non-Solicitation Policy:
By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation.
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The Sr. Lab Technician position will be responsible for the assembly, testing and evaluation of prototypes for new and existing product applications. Along with other responsibilities, this position will determine future equipment and process needs and ensure safe operating conditions.
Medical, Dental, Vision and Prescription Drug Coverage
Spending accounts (HSA, Health Care FSA and Dependent Care FSA)
Paid Time Off and Holidays
401k Retirement Plan with Matching Employer Contributions
Life and Accidental Death & Dismemberment (AD&D) Insurance
Paid Leaves
Tuition Assistance
Regal Rexnord Corporation (“Regal Rexnord”) is a leading manufacturer of electric motors, electrical motion controls, power generation and mechanical power transmission products and sub-systems, serving customers around the world in the general industrial, consumer, commercial construction, food & beverage, and alternative energy end markets, among others. Regal Rexnord sells its products and solutions to OEMs, through distributors, and directly to end-users. Regal Rexnord is a $7.2B company with 36,000 associates globally.
You may not know it, but Regal Rexnord impacts your life every day. The company’s products enable the fans in HVAC systems that keep us comfortable; the power source that keeps smart buildings running; the agricultural and food service equipment that keeps us fed; and the conveyer systems that keep e-commerce flowing, to name a few of the applications where our products are used.
Regal Rexnord’s business purpose is to create a better tomorrow by energy-efficiently converting power into motion. This means creating innovative solutions while focusing on both customer needs and the company’s commitment to sustainability. The company’s industrial powertrain and automation solutions offerings are an important part of the company's growth strategy. The company’s strategy includes leveraging 80/20 to prioritize all activities, including product excellence, operational excellence and commercial excellence (i) driving organic sales growth through the introduction of innovative new products, with a particular focus on improving energy efficiency, (ii) establishing and maintaining new customers, as well as developing new opportunities with existing customers, (iii) participating in higher growth end markets and geographies, and (iv) identifying and consummating strategic, value creating acquisitions.
Regal Rexnord is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity, age, ancestry, national origin, marital status, citizenship status (unless required by the applicable law or government contract), disability or protected veteran status or any other status or characteristic protected by law. Regal Rexnord is committed to a diverse and inclusive workforce. We are committed to building a team that represents diverse and inclusive backgrounds, perspectives, and skills. If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email Recruiting@RegalRexnord.com. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail Recruiting@RegalRexnord.com.
Equal Employment Opportunity Posters
Notification to Agencies: Please note that Regal Rexnord Corporation and its affiliates and subsidiaries ("Regal Rexnord") do not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement or similar contract and approval from HR to submit resumes for a specific requisition, Regal Rexnord will not consider or approve payment to any third-parties for hires made.
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Responsibilities:
Requirements:
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At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
· build real-world, mission-scale AI capabilities through solving practical engineering problems
· discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities
· prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
· identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape
Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview: As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research.
The AML Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the AML Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.
The AML Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
· AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems.
· AI/ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI/ML algorithms and evaluate the effectiveness of defensive techniques.
· Applied AML: Advance the state of the art in Adversarial Machine Learning by developing and transitioning capabilities to government sponsors.
As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.
Your day-to-day engineering tasks will include:
· Identifying and Investigating emerging AI and AI-adjacent technologies.
· Defining and Refining processes, practices, and tools for working with AI.
· Designing and Building well-engineered prototypes of AI systems.
· Transitioning and Providing guidance on AI capabilities to government sponsors.
Duties
· Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
· Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
· Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.
· Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
Knowledge and Experience
· Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred
· A track record of using well-established engineering practices to solve difficult problems
· An understanding of how to convert research results into functioning prototypes or capabilities
· Experience leading technical projects in novel areas with limited previous work to build upon
· Ability to work with leadership to plan, develop, and deliver an overall research strategy
· Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms
· Proficiency in writing funding proposals or pitching ideas for new research projects
· Ample experience with publishing written or technical artifacts showcasing your work
· Strong collaboration skills for working with colleagues and sponsors
· Willingness to guide and mentor junior team members
Requirements
· A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience
· An active Department of Defense TS/SCI security clearance is required.
· Legally authorized to work for Carnegie Mellon University in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
· Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
Location
Pittsburgh, PAJob Function
Software/Applications Development/EngineeringPosition Type
Staff – RegularFull Time/Part time
Full timePay Basis
SalaryMore Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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General Scope
Daily Responsibilities
Product Application
Odour Evaluations
Materials Management
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