Head Machine Feeder Job Description Sample
Commingle Feeder- Machine Feeder
Direct Mail Solutions is a full service mail and fulfillment company located in Richmond, Virginia. DMS is seeking a Commingle Feeder who will be responsible for efficiently and accurately handling mail material in the Commingle Department.
Primary Duties & Responsibilities:
Compiles and records production data.
Prepare records and reports on volume of production.
Charts production numbers
Responsible for loading/downloading production data.
Efficient and effective handling of finished product/mail.
Safe operation of mail sorting equipment.
Knowledge/ Skills/ Abilities:
Quality control is essential
Strong attention to detail and problem solving skills.
Well organized with the ability to prioritize workload.
Work well under pressure and meet deadlines.
Basic computer and communication skills are required.
Flexible with scheduled work hours.
Able to safely lift up to 50lbs on a regular basis, occasionally more than 50lbs. Frequent bending, twisting, and pulling. Only applications with completed recent resumes (explaining gaps in employment) will be considered.
The core work hours are 6:00am- 7:30pm.
Only applications with completed recent resumes (explaining gaps in employment) will be considered.
Head Of Machine Learning & Data Science
Helping customers make better product and business decisions with the aid of data is at the heart of the value we deliver. We believe in a future where software powered by machine learning, data science, and raw statistics can do much more to assist in that mission.
About the role:
We're looking for a leader to own two critical areas. First, lead our machine learning engineering team in building out a product area that opens up the boundaries with automatically delivering data insights to customers. Second, start a brand new data science team that can partner with our Engineering, Product, and Design organization to ensure that Mixpanel sets the bar when it comes to data-driven decision-making.
Come join us and help make thousands of companies more data driven.
Steer the vision of Automated Insights products at Mixpanel
Partner with the engineering, product, and design organization to supply data science support for in-house product and business decisions
Design processes which enable our teams to be autonomous and outcome-driven
Build, lead, and grow a team of world-class machine learning engineers and data scientists
Influence the broader product direction by serving as Mixpanel's in-house representative of data science customers
Partner with marketing and comms to further build the brand of the company and team by representing us at industry events
B.S. in Computer Science, Math, Statistics, or equivalent field
6+ years of hands-on machine learning or data science work experience
Experience leading a team of at least 5, preferably experience managing managers
Proficiency with coding, preferably with one or more of Clojure, Python, C++, or Go
Proficiency with data querying and data warehouse tools
Strong interpersonal and communication skills
Strong product strategist
We collaborate. We try to have at least two people work together on every project. It's more fun and yields better results.
We value learning, from each other and by building prototypes and collecting data to challenge our assumptions. Sometimes we try things that fail, and that's okay. We expect to learn something new every day.
There is no job too big or too small for anyone, and we're always happy to lend a hand to one another.
We care about quality. We do very thorough code reviews, and try our best to build code that is simple, clear and reliable.
We troubleshoot our systems and strive to make them better. When something does go wrong, we focus on the root cause and future prevention, not assigning blame.
Mixpanel helps businesses build better products with the most advanced analytics software for mobile and web. With almost 20,000 customers worldwide and 14% of the Fortune 500, Mixpanel has earned a reputation for creating a delightful customer experience and an innovative approach to analytics. Today, we analyze over 30 Trillion actions every single day.
Why choose Mixpanel?
A clear market leader in the analytics space, Mixpanel received funding by world-renowned VC firms like Andreessen-Horowitz, Sequoia, and YC, and our revenue has grown significantly since then. Our ambitious, collaborative team makes it possible by finding creative solutions to new challenges with scaling, reliability, design, and customer service. Mixpanel has a rapidly growing team of 300+ in our offices in San Francisco, New York, Seattle, Salt Lake City, and London.
Mixpanel is an equal opportunity/affirmative action employer supporting workforce diversity.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Head Of Machine Learning Research - Nlp, Speech, P13n
Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want "Happy rock from the 90s", can she help them find it?
Your machine learning leadership skills can help make that a reality on the Amazon Music team. We are seeking a Senior Applied Science Manager to lead a team of experts in the field of machine learning to break new ground in the world of understanding and classifying different forms of music, and create interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.
You'll work in a collaborative environment where your team can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy their algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish research. You'll see the work of your team directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.
The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, 7+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems, and 5+ years of practical experience managing one or more machine learning teams. Great if you have a passion for music, but this is not a requirement.
Lead a team that advances long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;
Develop and manage the long-term vision and portfolio of research initiatives for your team;
Manage the design, development and evaluation of highly innovative, scalable models and algorithms;
Lead experienced scientists as well as develop junior members from academia/industry to a successful career track in applied science;
Grow your team by hiring the best;
Project manage cross-functional projects;
Work with product and software engineering teams to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale.
Head Of Engineering, Machine Learning
BloomReach is a Silicon Valley firm that brings businesses the first open and intelligent Digital Experience Platform (DXP). BloomReach drives customer experience to accelerate the path to conversion, increase revenue, and generate customer loyalty.
With applications for content management, site search, page management, SEO optimization and rolebased analytics, BloomReach is a central location for all players who manage customer experience to come together and intelligently drive business outcomes. BloomReach's Web Relevance Engine (WRE) algorithmically understands content and users, matching demand and intent data from across the web.
BloomReach is a Leader in the Gartner Magic Quadrant for WCM, with tools to unlock the powerful creativity of humans to improve omnichannel customer experiences at scale. Together, human and machine generate millions of dollars of proven incremental sales.
BloomReach's portfolio of customers include: Neiman Marcus, Staples, Mailchimp, and Air Miles.
Created in 2009, BloomReach is headquartered in Mountain View, CA with offices worldwide and is backed by investment firms Bain Capital Ventures, Battery Ventures, NEA, Salesforce Ventures, and Lightspeed Ventures. Learn more: www.bloomreach.com
The team is solving one of the digital world's most fundamental problems: Helping people instantly find what they need when they need to find it. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
The team is responsible for the data science modules that power all the products of the company, including Analytics, Search Relevance, User Personalization, Recommendation and Content Intelligence. This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery.
The enormous amounts of data generated by users is an advantage as well as a challenge at Bloomreach. We process data from 100s of customers, generating about 500 million customer interactions per day that drive billions of dollars of revenue. We have built industry leading algorithms in search/recommendations for commerce space that serve the most relevant experiences using Artificial Intelligence. We don't settle on our laurels and we want to make further improvements while also taking on the challenge of building AI driven experiences beyond commerce.
Principal, Head Of Machine Learning, Payment Products
Lead machine learning at the intersection of fintech and adtech. Amazon's Payment Products business is seeking an experienced ML practitioner to develop our vision and roadmap for learning.
We are seeking a machine learning or applied science thought leader with academic and/or hands-on experience. As the Principal, Head of Machine Learning, you will develop and coach a team of talented machine learning scientists and research scientists.
You will lead your team in defining and executing new ML initiatives. As a true Amazonian, you will work backwards from the customer, improving our ability to surface the most relevant contents for each customer.
To be successful in this role, a strong foundation in programming and statistics is key. The right candidate will have a background in academia or industry, developing new methodologies and ML capabilities.
The ability to influence your peers and leadership will enable others to adopt your vision. The Principal will serve as a thought leader and collaborate with Amazon's global ML experts.
Head Of Machine Learning, Payment Products
Ready to lead a team of Applied Scientists for Amazon's Payment Products? We are searching for a Head of Machine Learning to create new ML applications and expand our current capabilities.
The Amazon Payments Team manages all Amazon branded payment offerings globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products.
Our payments products (Amazon Co-Branded Credit Cards, Private Labeled Credit Cards, Shop with Points and Currency Conversion) provide the most innovative payment experience on and off Amazon. We manage a financial services ad serving platform (100+ billions of impressions per year) through Amazon's purchase path where we offer Amazon branded and non-branded payment products and services. Our team of high caliber software engineers, machine learning scientists, research scientists, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value.
We leverage the wealth of Amazon's information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon's technological infrastructure to display the right offerings in real time. We work closely with product managers to understand their business, collect requirements and deliver high value analytics and insights for the Amazon Payments team that drive acquisition, usage and loyalty. Our petabytes of data has the ability to improve the shopping experience for hundreds of millions of consumers worldwide.
Our goal is to delight our customers with their purchasing experience. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the world.
We are looking for an outstanding people leader for our Applied Scientist team. Lead the team in putting Machine Learning theory into practice through experimentation and invention, develop new algorithms using machine learning techniques (such as deep learning, reinforcement learning, random forest, Bayesian networks, ensemble learning, clustering). Implement production code for learning systems and work with massive datasets.
You know and love Machine Learning and software development, can build machine learning models from massive complex datasets and can work with software developers and product teams owning customer experience. You are analytical, innovative, creative, disruptive, and you don't give up. In this role you will have an opportunity to improve our machine learning engine and ad serving platform that provide personalized customer experience at a massive scale.
You will also have the opportunity to display your skills in the following areas:
Use statistical and machine learning techniques to develop scalable solutions to address Amazon Payments Products business problem and improve ad serving platform.
Own the design, development, evaluation and deployment of new learning algorithms for predictive modeling.
Work closely with software engineers and data engineers to implement prototypes and production codes.
Conduct A/B tests to evaluate new learning algorithms and features.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Act as the point of contact and machine learning leader for the business. Represent the Machine Learning team inside and outside of Amazon Payments Products.
VP, Head Of Data, Analytics & Machine Learning
Picture yourself adding your creativity toward game-changing innovation. Our businesses operate at the intersection of tax preparation and financial planning, and our competitive advantage lies in their unique combination.
With award-winning products and services through our TaxAct and HD Vest brands, Blucora is on the forefront of financial tech, turning taxes into opportunity for our consumers, small business customers and tax professionals. We have a culture of creating market disruption; a place where big ideas, and those who think them, can flourish. If you’re interested in being part of a team that dreams large, talks straight, and helps millions of customers every year build their financial future, then we should talk!
The VP, Head of Data, Analytics & Machine Learning is a senior leadership role that will have responsibility for building an integrated data vision for the company, building a robust data platform, delivering smart Business Intelligence, creating data driven insights, developing customer centric analytical products, and applying machine learning across Blucora and its two divisions TaxAct and HD Vest. This role will engage with the CEO, Presidents and others on the executive management team to share the vision and progress. This role will manage internal teams and external staff augmentation across data infrastructure, Business Intelligence, and Analytics and foster a customer-centric data driven culture.
Develop an integrated vision and end-to-end data strategy for Blucora and its two divisions TaxAct and HDVest with a strong focus on directly and indirectly creating value for our customers.
Partner with the technology teams, data/analytics vendors, and others to evaluate analytics solutions and build/enhance the data infrastructure in a phased manner aligned with the needs of our customers and the business.
Develop machine learning expertise and apply innovative applications of ML across the enterprise.
Build customer centric revenue generating data products using internal and external data.
Form external data partnerships to collect third party data, append it to internal data to create richer customer and team insights.
Build a team of data scientists and statisticians to do data mining, apply predictive analytics across the enterprise and across the customer lifecycle for TaxAct and HDVest that covers segmentation, acquisition, engagement, and retention.
Collaborate with product, marketing, innovation, operations and other stakeholders to support test & learn driven customer experience, product development, and execution.
Enhance business intelligence tools across the company to create richer data driven insights.
Coach, manage and develop the team to maximize performance, business impact and results.
Remain current on latest advancements in analytical trends, techniques and tools.
Other job duties as assigned.
Qualifications and skills:
Bachelor’s Degree business, management, accounting, economics, statistics, information science or similar required. Master’s degree desired.
Minimum of 5+ years as the Head of Big Data and Analytics across a company/division.
Minimum of 15+ years with progressive growth in machine learning, predictive analytics, BI, data infrastructure, or related fields.
Proven ability to build the vision for and lead an integrated data and analytics team.
Proven and strong experience working on customer insights and analytics in the digital marketing space.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate data in a succinct manner.
Intermediate to Advanced expertise with statistical modeling tools such as R, SAS, SPSS or equivalents.
Enjoy being challenged and to have a desire to solve complex problems on a daily basis.
Experience with large datasets, data modeling and SQL is required.
Strong understanding of Big Data (Hadoop), NoSQL software architectures.
Are you a returning applicant?
If you do not remember your password click here.
Press Assistant 2 - Sheetfed Feeder (38725)
Assists Press Operator with press make ready and perform manual and machine operator tasks in the set-up, maintenance, and operation of the printing press.
Must be able to install plates and blankets on press cylinders, adjust press machine parts, such as a feeder, delivery mechanisms, suction grippers, guides, feed wheels, jogging devices, tapes, and cams, using hand tools.
Assist in removing and replacing worn rollers and adjusting pressure between rollers of press, using hand tools.
Wash blankets and clean ink distributing rollers and ink fountains, using ink solvent and cleaning mechanism on press.
You will also stock consumable supplies for the press such as rags, solvents, blankets etc.
Understand and comply with all EHS policies and programs.
Maintain an organized work area by coordinating efforts with department personnel and management, completing all required housekeeping tasks, and report any unsafe working conditions.
Performs other related duties and participates in special projects as assigned.
Ability to read and follow job specifications to determine press set-up materials needed to run the job successfully.
Skill to follow instructions to operate equipment safely and produce the desired product.
Ability to mount and align the printing plates correctly.
Ability to make adjustments to feeder and feed board (e.g., ability to adjust suctions and blast, front and side guides and the timing of the head stops).
Skill in performing routine operational maintenance and minor repairs to equipment under guidance of senior level Press Operators.
Requires general knowledge of offset presswork procedures and materials.
Must be able to maintain good attendance.
Ability to read and interpret documents to include job tickets, safety rules, operating and maintenance instructions and procedure manuals.
Must be able to work overtime including assigned weekends as scheduled.
Must be able to flex schedule to meet the needs of production, including working a different shift if needed.
Job requires ability to exert 20 to 50 pounds of force occasionally.
Must be able to frequently lift up to 20 pounds and occasionally lift up to 50 pounds.
Experience working in a sheetfed printing environment, preferred.
Operator,Cold Head Machine I
I. Job Description:
Operates and monitors machine functions, Able to perform some set-ups and set-up adjustments. Records production output and charts process control data. Changes tooling as needed.
II. Essential Job Duties and
Operate Nakashimada PF 630 cold heading machine, 2 die and 3 blow.
Maintains machinery by following instructions on Maintenance Logs.
Receives and follows verbal and written instructions regarding duties to be performed.
Maintains production schedules and output.
Performs all other related job assignments and functions as assigned and/or required.
Must be able to perform some set-ups of machines such as cutting, labeling and wire stamping machines.
Must be able to use measurement instruments.
III. Skills and/or Experience Needed:
Some prior experience working with cold head machinery & equipment
Experienced with hand tools.
Able to operate semi-automatic machines
Must be able to verify work completed is per instructions given.
Must be able to understand and follow verbal instructions.
Must be able to read prints.
Must be able to communicate effectively.
Ability to follow instructions and perform necessary duties.
Must be able to verify work completed is per instructions given.
IV. Additional Skills and Experience Preferred (Not Required):
Able to read and understand MSOs and related paperwork.
Computer skills applicable to the position
V. Physical Demands:
While performing duties of this position, the employee is required to stand and walk for long periods of time, and is occasionally required to sit, bend, stoop, reach, talk and/or hear.
Good manual dexterity, able to pick up small parts.
May regularly be required to lift 20 lbs.
May occasionally be required to lift maximum of 50 lbs.
May occasionally be required to work irregular and/or extended hours.
Able to work in an environment that may be subject to occasional loud noises, hazardous materials, chemicals, etc.
Graphic Packaging International, LLC, a wholly-owned subsidiary of Graphic Packaging Holding Company (NYSE: GPK), is committed to providing consumer packaging that makes a world of difference. Headquartered in Atlanta, Georgia, we are a leading global provider of paper-based packaging solutions for a wide variety of products for food, beverage, foodservice and other consumer products companies. We are one of the largest producers of folding cartons and hold a leading market position in solid bleached sulfate, coated unbleached kraft and coated recycled paperboard. Graphic Packaging's customers include some of the most widely- recognized companies in the world.
We achieve our vision by delivering value to our customers, building a high-performance culture for our employees and creating superior returns for our shareholders. We strive to be an environmentally responsible leader in our industry and in the communities where we operate.
Graphic Packaging has approximately 17,000 employees working in more than 60 locations in North and South America, Europe and the Pacific Rim. We are committed to workplace diversity and offer compensation and benefit programs that are among the best in the industry to reward the talented people who make our company successful. We invite you to review the following employment opportunity and to learn more about us at www.graphicpkg.com.
Inspired Packaging. A World of Difference.
Ability to review and perform quality checks for damage and non-conforming product
Perform fast paced duties to ensure machines are fully loaded and properly operational
Ensures new stock is delivered in a timely manner to keep the machine running and to watch for machine jams.
Perform in-Process inspections by visually inspecting cartons as they are loaded into the machine.
Assist the Operator in running quality cartons to customer specifications at the fastest possible speed.
Visually inspect cartons before feeding to ensure that the proper item is being fed and that there are no noticeably defective cartons being fed.
Perform checks for all defects, damaged cartons, and mixing. The Feeder should feed by die position whenever possible.
Facilitate proper positioning of cartons in the feed hopper by fanning out or pre-breaking scores as necessary to ensure that cartons are being pulled through feed properly.
Reports unsafe conditions to the Operator, Department Manager, or Management Team.
Assist Operators during machine down time for clean-up and resolution
Performs other related productions duties as assigned by the Finishing Manager or Management.
High School equivalent/GED
2 - 5 years of manufacturing experience in manufacturing required..
Technical and problem solving skills.
Must be a leader with exceptional communication skills, good organization, and the ability to motivate people to perform at high levels.
Must be quality conscious and customer oriented.
Graphic Packaging is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, age, gender or sex (including pregnancy), national origin, ancestry, marital status, sexual orientation, gender identity, genetic identity, genetic information, disability, veteran/military status or any other basis prohibited by local, state, or federal law. Click here to view the EEO is the Law Poster.
Making better hires starts with building better job descriptions
- Browse 100s of templates across 40+ industries
- Customize your template with your company info & job requirements
- Post it to 20+ job boards in seconds – for FREE!