Are you currently looking for an internship this fall or for next year?
We can surely help you with the search. Weโre hiring a select group of students to be Interns. To date weโve helped hundreds of candidates land internships and jobs across the country; do you have what it takes to join our next cohort?
We are a recruitment consultancy firm that helps companies recruit faster and with more convenience. We work with a number of top-tier companies, tech startups, freelance companies, Industry professionals, and subject matter experts for projects, internships, jobs, and freelance work.
Our client is one of the top job matching platforms that uses AI to match talent with relevant jobs. The technologies being used for talent matching are revolutionizing the way college students find jobs and internships.
Job Description:
Mechanical Engineer Intern- Remote, paid
If you meet the below eligibility criteria, please apply and our recruitment team will connect with you to understand your strengths and strategize your career ahead. We plan to build a strong connection with all our applicants so that we can facilitate our employment partners now as well as in the future.
Eligibility Criteria:
โข Undergraduate- Preferable Graduation Year is 2023 or later.
โข You are working towards a Bachelor's degree in Mechanical Engineering
โข Minimum GPA: 3.0 strongly preferred, may consider 2.7 and above.
โข Work Authorization: Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization.
Important: The successful application submission for the above role will be conditional on your profile evaluation by our AI system. We can let you know better once you submit your resume.
Salary and compensation
No salary data published by company so we estimated salary based on similar jobs related to Travel, Senior, Medical, Non Tech, Analyst, Finance, Excel, Design, Testing, Engineer, Internship, Digital Nomad, Python, Recruiter, Marketing and Sales jobs that are similar:
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Staples is business to business. Youโre what binds us together.
Our world class sales and sales support teams work directly with businesses of all sizes to offer products and services to meet our customersโ unique needs. We are committed to understanding our customers and use best-in-class sales tools and technology to find the best solutions. Weโre constantly discovering new ways to reach our goals, taking time to develop our skills, and investing in our career growth, so we can enjoy lucrative opportunities and grow our careers both within and beyond sales.
What Youโll Be Doing
Develop an understanding of customers' business and operational objectives by collaborating with the sales, operations, and print implementation teams
Create customized marketing materials, user guides, training videos, and conduct live training sessions as needed to assist new print program account customers with navigating the StaplesAdvantage.com website
Coordinate end user site training; assist with site organization (i.e., shopping list creation/maintenance) to ensure customer self-service
Develop scalable processes, resources, and frameworks when required by the customer (manual order process, etc.)
Create internal program documentation (SOP) and conduct account hand-off to appropriate support team(s)
Provide sales, revenue, and service performance data during initial 90 days of a new print program account
Organize and maintain customer account files related to initial account set-up & Onboarding
Maintain accurate records including master cases & project task cases, as well as โmaintenanceโ cases in SFDC
What You Bring To The Table
Strong relationship building and interpersonal skills
Basic mathematical aptitude
Demonstrate strong organizational skills to effectively manage multiple concurrent projects
Ability to excel in a fast-paced environment with specific attention to detail
Ability to build relationships and tailor communication to a variety of customers and stakeholders
Qualifications
Whatโs needed- Basic Qualifications
High School Diploma or GED
2+ years related professional experience (customer service, sales support, or account management)
Whatโs Needed- Preferred Qualifications
3+ years related professional experience (customer service, sales support, or account management)
Print industry experience
Competency in MS Office suite and PC Skills
Direct sales support experience, ideally in a B2B environment
We Offer
Inclusive culture with associate-led Business Resource Groups
Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits
Interested in joining the team? Check out our perks and benefits !
Staples believes Inclusion is a verb and we encourage diversity of thinking and ideas as well as backgrounds and experiences. Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
This job post is closed and the position is probably filled. Please do not apply. Work for Paperspace and want to re-open this job? Use the edit link in the email when you posted the job!
๐ค Closed by robot after apply link errored w/ code 404 3 years ago
About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -ย from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Teamย \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment.ย We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\nโข Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\nโข Effectively articulate best practices for instrumenting machine learning pipelines to our customers \nโข Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\nโข Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \nโข Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\nโขย Develop and refine product documentation\nโข Develop sample projects that can run seamlessly on the platform\nโข Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\nโข Actively use Gradient features in a variety of scenarios to provide internal product guidance\nโข Contribute ideas and feedback and help prioritize feature requests and bug fixes\nโข Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\nโข Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\nโข Keep the organization apprised of new developments in applied & theoretical ML\nโข Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\nโข 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\nโข Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\nโข Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\nโข Excellent communication and presentation skills, both written and verbal\nโข Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\nโข Ability to break down complex problems and resolve them through customer consultation and execution.\nโข Experience with cloud platforms (AWS, GCP, Azure)\nโข Experience with Linux/Unix\nโข Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\nโข Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\nโข Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\nโข Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\nโข Writing easy-to-follow code and effective documentation for your projects\nโข Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\nโข Strong writing and data visualization skills\n\nStrong Plus\n\nโข Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \nโข Experience with hyperparameter optimization solutions\nโข Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\nโข Experience with data pipeline tools\nโข Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\nโข You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine โข learning more accessible, transparent, and collaborative\nโข Experience contributing to architecture and systems design\nโข Teaching experience\n\nWhy join us? \n\nโข Top-tier machine learning teams rely on our tools for their daily work\nโข This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\nโข Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\nโข A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\nโข Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\nโข 401(k) Plan with employer matching\nโข Commuter benefits with a contribution from the company \nโข Responsible Time Off Policy \nโข Generous and flexible parental leave\nโข Fitness & wellness benefit\nโข Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Cloud, Machine Learning, Senior, Marketing, Sales, Engineer, Front End, Teaching, Python and SaaS jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nNew York City
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.