Knitting Machine Fixer Head Job Description Sample
Knitting Machine Operator
- Assure the proper supply yarn is on creels.
- Assure yarn is properly creeled. “Knots” should be small and “Tails” should be short.
- Assure the machine and creels are clean and threaded correctly.
- Maintain high level of housekeeping at all times.
- Yarn should be off boxes, empty boxes and cardboard relocated to designated location.
- Separators must be put up out of the aisles and doorways.
- Empty cones off floor
- Entire area free of lint and oil
- Floor swept and clean
- Following style change (or lot change with dyed yarns), knit the first roll and hold machine until quality check in inspection is confirmed okay.
- Continuously visually check machine and fabric for defects.
- Fill out knitting ticket properly and completely which includes defects on tickets.
Pay Range - $9.50 - $16.25
Medical, Dental, Vision, Life, STD/LTD, 401K Retirement Plan, Bring-A-Friend to work campaign ($1000), Perfect Attendance Awards, Bonus.
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 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.
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Head Of Machine Learning
Ibotta is looking for a Head of Machine Learning who will drive business value and growth by delivering strategic and innovative analytical solutions. The ideal candidate will be an experienced, collaborative and inspiring leader with a track record of attracting, recruiting, developing and retaining world-class analytical talent. You will partner closely with cross-functional leaders to define and execute a strategy to deliver scalable, production-grade analytical solutions that improve our customer experience and optimize revenue potential. This position will report to the VP of Analytics and Data Science.
What you'll be doing:
Lead and develop an agile team of 10+ machine learning engineers and managers
Work cross-functionally with product and engineering teams on large-scale projects that leverage Ibotta's unique data to deliver scalable, production-grade analytical solutions that improve our customer experience and optimize revenue potential; Examples:
Building recommender systems to create a personalized app experience for our users
Building models to inform and improve the search functionality within the app
Leveraging data from a wide variety of sources (purchases, app activity, demographics, geospatial, etc.) to build standard features that support machine learning models across the department
Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation
Inform the product roadmap and strategy to leverage advanced analytics and machine learning and be an internal champion for a data-centric culture
Research and implement new machine learning and data science methodologies and stay abreast of industry trends and standards
What we're looking for:
6 - 8 years of experience in data science, machine learning or advanced analytics with at least 3+ years of experience leading analytical teams
Strong track record of hiring, developing, motivating and inspiring advanced analytics talent
Demonstrated technical ability, conceptual thinking, and problem-solving skills
Excellent written and verbal communication skills and demonstrated ability to distill complex analytical solutions into actionable insights
Exceptional interpersonal skills with the proven ability to collaborate across functional areas to define, prioritize and ensure the continual improvement of analytical competency in support of business needs, efficiencies and driving revenue
Experience using modern data analysis tools (Python, R, SAS, etc.)
Experience with AWS and distributed big-data tools (Spark, Hive, Presto, etc.) a plus
Headquartered in Denver, CO, Ibotta ("I bought a...") is transforming the shopping experience by making it easy for consumers to earn cash back on everyday purchases through a single smartphone app. The company partners with leading brands and retailers to offer rebates on groceries, electronics, clothing, gifts, home and office supplies, restaurant dining, and more. Ibotta is the premier destination for rewarded shopping on mobile and has paid out more than $350 million in cash back to its users. Launched in 2012, Ibotta has 28 million downloads and is one of the five most frequently used shopping apps in the United States.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
This position is located in Denver, CO and includes competitive pay, benefits package (including medical, dental, vision), 401k, commuter stipend, and equity.
Ibotta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, and genetics.
Applicants must be currently authorized to work in the United States on a full-time basis.
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 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.
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
Loom Fixer - Weaving - Hillsville, VA - 12 Hour Nights
Mohawk Industries is the leading global flooring manufacturer that creates products to enhance residential and commercial spaces around the world. Mohawk's vertically integrated manufacturing and distribution processes provide competitive advantages in the production of carpet, rugs, ceramic tile, laminate, wood, stone and vinyl flooring. Our industry-leading innovation has yielded products and technologies that differentiate our brands in the marketplace and satisfy all remodeling and new construction requirements. Our brands are among the most recognized in the industry and include American Olean, Bigelow, Daltile, Durkan, IVC, Karastan, Marazzi, Mohawk, Pergo, Quick-Step and Unilin. During the past decade, Mohawk has transformed its business from an American carpet manufacturer into the world's largest flooring company with operations in Australia, Brazil, Canada, Europe, India, Malaysia, Mexico, New Zealand, Russia and the United States.
Mohawk Industries, Inc offers a comprehensive compensation package that includes a wide variety of benefit options so that individuals can tailor plans that are right for him or her. Benefits include health care with prescription card, dental/vision, disability, life insurance, 401(k) plan with company match, employee purchase discounts, tuition reimbursement for undergraduate and graduate programs and much more.
Mohawk Industries, Inc. is an Equal Opportunity Employer committed to an inclusive workplace and a proud Drugs Don't Work participant.
EOE Minorities/Females/Protected Veterans/Disabled
Constantly patrols all parts of all machinery and checks for quality defects on section and makes overhauls, repairs, or adjustments as needed.
Perform all "check lists" type duties on style changes, new warps and maintenance looms. Supervisor may assign assistance as deemed necessary.
Performs preventive maintenance procedures on looms. Records all action on the proper forms, takes corrective action or makes recommendations for repair.
Inspect machine malfunction and woven cloth to locate problems, determine work to be done, repair, clean, adjust, lubricate, etc. as required to correct malfunction.
Repairs or replaces defective parts, adjusts tension and timing of parts using hand tools.
Levels and aligns parts to prevent excessive wear.
Assists the warp changer personnel on cleaning and start-up of looms at warp out.
Will perform routine cleaning duties.
Blow off designated looms once per shift to keep them free of dust, scrap, etc.
May be required to run a set of looms at times when we are short a weaver due to vacations, sickness, etc.
Assist weaver as needed in repairing stops and creeling fill yarn.
EDUCATION/EXPERIENCE PREREQUISITES:Mandatory – Must be able to read and write in manner indicated on application.Preferred – Weaving and good mechanical aptitude.
Head Of Prod Ops Machine Learning
Introduction to the team:
We're looking for a manager to lead a new team within our Production Operations organization. This would be an opportunity build a platform from scratch in a highly critical organization through a combination of architecture, design, and managing a small team. Here is a bit of the vision we see for this role:
Leadership - The team is not in place yet, so you'd have an opportunity to build and lead this team
Data mining - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
Algorithm design - develop quantitative models, leveraging machine learning and advanced data analysis techniques
Algorithm platform engineering - architect and build technical platforms for our algorithmic engines to run at scale
Influencing business decisions - relentlessly leverage our work and encourage adoption across our business partners, to drive real business value
As part of this role, you will be a creative thinker in how to solve problems, utilizing quantitative/technical skills along with business understanding to devise solutions. You'll work within Wayfair's big data technology infrastructure in order to dive deep into our data sets and develop innovative new capabilities.
Be a hands on leader, managing a small team of engineers
Build a platform to ingest data streams from real-time sessions on our websites.
Work in complex data systems and wrangle data from multiple sources including sales, customer, and clickstream databases
Uncover anomalies in real-time.
Conduct analysis and build models to uncover key learnings from data, leading to appropriate strategy recommendations.
Derive single and multi-variant algorithms to detect anomalies in real-time across different funnels in our website.
Serve as an algorithm and engineering lead to build advanced quantitative solutions into our overall technical platform
Work alongside engineering leaders to detect outliers in our technology platforms and make suggestions to improve them.
BA/BS/MA/MS plus 7+ years' experience working with data
Strong statistical background; machine learning experience highly valued
Ability to communicate with upper management
Strong programming skills relevant to data science:
Preferred stack: Python
- IPython Notebook, NumPy, pandas, machine learning packages
R, Matlab and other data/statistical language experience also valued
Excellent communication skills, including summarizing/describing your projects
Projects demonstrating data prowess and/or coding prowess
Excellent communication skills, including summarizing/describing your projects
Programming experience on non-data related projects in any languages
Experience working with data in a business context
Experience with SQL or other databases
Experience with big data (Hadoop, Elasticsearch, Logstash)
Experience with Git, GitHub, bash / UNIX scripting
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