Artificial Log Machine Operator Job Description Sample
Artificial Intelligence / Machine Learning Research Scientist / Principal Scientist)
The Role / Responsibilities:
The Artificial Intelligence / Machine Learning Research Scientist / Principal Scientist is a core member of the Emerging Business Unit (EBU) team, reporting to the Senior Director, ML and AI, Emerging Business Unit. This is a newly formed, highly visible team that is key to Moody's Analytics' (MA) long-term growth strategy that will lead our efforts to better understand and adapt to an environment characterized by widespread, technology-driven change. The EBU is charged with supporting innovation within our existing LOBs, developing opportunities in the "whitespace", enhancing our innovation process and understanding customers' technology preferences.
The Artificial Intelligence / Machine Learning Research Scientist / Principal Scientist will, under close guidance and supervision by the Senior Director, research, design, develop, and implement innovative Machine Learning, AI, deep learning, NLP, Data Science solutions that will advance Moodys Analytics capabilities across multiple business lines. On any day, the candidate could be doing any or all of the following:
Research emerging ML/ AI/ NLP / deep learning / Data Science solutions applied to unstructured and structured data and be conversant with latest developments in these fields
Research and brainstorm with internal MA stakeholders to identify innovations in ML/AI/NLP / deep learning to help advance automation, knowledge discovery, decision-making and insights from structured and unstructured data (text, images, speech), and streamline business processes or enable new capabilities,
Implement and prototype new algorithms and write code for novel ML/AI/NLP / deep learning solutions for unstructured (text, images, speech, video) and structured data in a hands-on role,
Research and evaluate custom, novel AI/ML solutions through prototyping, POCs and quantitative metrics,
Work with the Senior Director and the ML-AI team members in developing, evaluating, improving, and handing off solutions to stakeholder teams as needed
Discuss, brainstorm new AI-ML advanced technology solutions with team members
Draft reports that detail the inner workings of complex models to non-experts, in layperson terminology.
Prepare reports, presentations, for internal and external stakeholders, and as applicable, jointly co-author publications in peer-reviewed journals and magazines.
Assist the AI-ML Senior Director in determining tradeoffs between internal technical implementation vs. partnerships with external teams/organizations/vendors for new technology-based solutions and capabilities
Attend, publish, and present novel research contributions at technical conferences, workshops, and meetups
Department: Emerging Business Units
Advanced or basic degree (recent PhD from top university / MS with 5+ years experience) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling
Strong foundational knowledge and applied research experience (in academic, research lab, or industry environment) in developing and
Principal Engineer – Machine Learning/ Artificial Intelligence For Network Performance Analysis And Optimization
Huawei is a leading global information and communications technology (ICT) solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Huawei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development. Huawei operates a global network of 14 regional headquarters, 16 R&D Centers, 28 Innovation Centers jointly operated with customers, and 45 Training Centers. Huawei is leading the way by rethinking the future. From devices to telecom infrastructure to cloud computing and convergence solutions, we are rethinking every link in the chain with ICT based innovation to deliver a better future... faster.
Position: Principal Engineer – Machine Learning/ Artificial Intelligence for Network Performance Analysis and Optimization
We are looking for technical leader with strong experiences in Machine Learning / Artificial Intelligence (algorithms and applications in real business problem solving) to help Huawei build smart network infrastructure and support intelligent network operation. This person will play a critical role in defining the strategy, key technology breakthrough and architecture & Solution design. He/she will also guide and support external collaborations with universities and other partners.
Together with domain expert, identify opportunities to apply Machine Learning/ Artificial Intelligence technologies for network performance analysis and optimization. To gain insights from data about what's happening, why happening and what actions to take.
As a lead investigator, propose and direct technology projects in solution architecture and key algorithm design and verification.
Achieve technology breakthrough and innovation by combining technology insights and business opportunities. To monitor the progress and industrial trends; propose technology strategy and roadmap to support the decision making of executives.
Organize and participate in global conference/events to promote Huawei technology visibility and branding.
PhD or experienced MS, in Math, Communication, EE or Computer Science
Rich knowledge and solid experiences in Machine Learning/ Artificial Intelligence research and applications.
A plus to have experience/background in mobile communication systems.
A plus to have background knowledge on network optimization and/or operation.
Good communication and team player.
Huawei Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Huawei Inc. is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Why work for us?
- In 2017, Huawei's revenue reached CNY600 billion (US$92 billion based on the year-end exchange rate), an increase of 15% (YOY)
- We invest in engineering and innovation
- 80,000+ of our 180,000+ global employees work in R&D, and we invest roughly 10% of our annual revenue in to R&D. U.S. R&D efforts are carried out by Futurewei Technologies, Inc.
Futurewei's commitment to R&D is a major reason why Huawei holds one of the largest patent portfolio's in the world: Since 2008, Huawei has been a top five international patent filer, per the World Intellectual Property Organization.
We support green energy
- Lowered CO2 emissions by 13,000 tons via Huawei's green packaging solutions
- Futurewei works with leading universities to further R&D efforts, investing more than $10million USD each year to support programs at Harvard, MIT, Stanford and Yale, among others.
Principal Data Scientist - Artificial Intelligence, Machine Learning %26 Big Data
The Expertise We're Looking For
PhD (or working towards similar) in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.), using relevant programming languages (Python, PySpark, Scala, Java, C , C#, C, etc.), mathematical/statistical/ML languages and platforms (R, H2O.ai, Octave, Matlab, Weka, SAS, etc.) and big data tools and languages (Spark, MapReduce, SQL, Hive, etc.).
Advanced knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies. Experience in evaluating and making decisions around the use of new or existing tools for a project.
Proven track record of strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams.
Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched ML projects.
5 years of relevant employment experience.
The Purpose of Your Role
You will partner with business stakeholders to identify/prioritize top AI opportunities, create business/technical requirements, transform large volumes of data into AI-driven solutions using creative, cutting edge open source methods/technologies, lead ML strategy and road map planning, work across teams and influence the direction of external teams. The ideal leader will combine expert AI/ML/Open Source/Tech knowledge with hands on experience building algorithms/models/programming and outstanding business skills (revenue/cost drivers, customer experience, customer journey, communication, etc.) to manage and deliver complex/critical projects driving significant value to Fidelity.
The Skills You Bring
Experience with TensorFlow, Keras, Theano, CUDA, and/or DSSTNE.
Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.).
Experience with voice recognition, natural language processing, and computer vision
Experience building and delivering complex systems that leverage various machine learning algorithms or technologies that integrate well with other organization-wide systems and can scale effectively.
Experience in developing and/or launching ML algorithms/frameworks using cloud infrastructure.
Previous experience in digital-native organizations (Google, Facebook, Amazon, etc.) and/or the Financial Services industry.
The Value You Deliver
We work closely with business stakeholders, collect requirements and deliver high value AI/ML solutions that drive customer and business value.. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry.
How Your Work Impacts the Organization
The AIML (Artificial Intelligence and Machine Learning) team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable AI algorithms, models, platforms and technologies to significantly improve customer experience and drive business results. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com
Fidelity Investments is an equal opportunity employer.
Software Engineer - Artificial Intelligence & Machine Learning
Sizmek is the largest independent buy-side advertising platform that creates impressions that inspire. In the digital world, creating impressions that inspire is vital to building meaningful, long-lasting relationships with your customers.
Sizmek provides powerful, integrated solutions that enable data, creative, and media to work together for optimal campaign performance across the entire customer journey. Our AI-driven decisioning engine can identify robust insights within data across the five key dimensions of predictive marketing—campaigns, consumers, context, creative, and cost. We bring all the elements of our clients' media plans together in one place to gain better understanding for more meaningful relationships, make every moment of interaction matter, and drive more value across the entire plan. Sizmek operates its platform in more than 70 countries, with local offices in many countries providing award-winning service throughout the Americas, EMEA, and APAC, and connecting more than 20,000 advertisers and 3,600 agencies to audiences around the world.
The machine learning team sits at the heart of our technology, and delivers on the core brand promise of bringing rocket science to make advertising more rational and effective.
What you will do:
Sizmek's technology platform supports a real-time bidding system that handles over 150 billion events every day (vs ~ 3 billion daily Google search queries), a reporting system that aggregates and analyzes terabytes of data in real-time, and a learning system that applies machine learning and artificial intelligence techniques to over 48 petabytes of data. These systems all work in harmony so that Sizmek can serve the right advertisement to the right user at the right time.
The Artificial Intelligence and Machine Learning team's work sits at the core of our technology as the key decision making agent for our systems. We research and develop the algorithms and models that make our software intelligent, as well as implementing, scaling, and maintaining the code that powers our production systems.
Some of the problems we work on include:
- Click/Conversion Prediction: How do you use the rich data we have about users to make predictions?
How do you handle conversion events that are really rare, such as purchasing a cruise? How do you deal with cold start problems?
- Bidding Strategies: How do you translate a click or conversion score into a bid?
What if it's a first price auction, second price auction, or has a floor? How do you take into account pacing for hour of day, day of week, and special holidays like Thanksgiving and Christmas?
- A/B Testing: When is a result significant? How do you weight across many different campaigns?
- Fraud Detection: Many users of the web are not human, but rather bots, crawlers, or other pieces of software that is loading web pages. How do you detect these users and protect Sizmek from showing ads to them?
- Recommender Systems: Sizmek dynamically tailors ads to each user, including the products shown. How do you decide which products to show in just a few milliseconds?
We work with some of the most cutting edge technologies to solve these problems, including Yarn/Hadoop (close to 2000 nodes), Spark, Hive, Hbase, and Storm. We program mostly in Scala, Java, and Python.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We are hiring for all levels with compensation and role depending on experience.
Machine Learning And Artificial Intelligence Intern
Uses predictive modeling, statistics, Artificial Intelligence, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data . Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy. Assists business with casual inferences & observations with finding patterns , relationships in data.
Must be a current student enrolled into an university pursuing a M.S or Ph.D degree in Computer Science, Mathematics, Machine Learning, Operation Research, and Statistics or equivalent expertise.
This U.S. position is open to U.S. Workers Only.
A U.S. Worker is someone who is either a U.S. Citizen, U.S.
National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position."
Expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies i.e. Hadoop , HBase, Lucene/Solr, analytics packages i.e.
R, Mahout, Matlab, Octave, Weka, scripting languages i.e. Python, Perl, programing languages i.e. Java, C/C++, SQL.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Artificial Intelligence / Machine Learning (Ai/Ml) Specialist
Artificial Intelligence / Machine Learning (AI/ML) Specialist (Job Number:434982)
The Machine Learning Specialist will provide direct support to the United States Air Force Shadow Operation Center, Nellis Air Force Base (AFB), Nevada. In this position, the AI/ML Specialist will work with stakeholders and technical team members to deliver capabilities through agile acquisition, by leveraging advanced technology, by improving interoperability, and providing enhancements of command & control functions.
Other key tasks:
Leverage knowledge of data science, methodologies, and processing techniques to analyze vast amounts of sensor data for decision support.
Work with an agile team to develop machine learning analytics across domains.
Perform statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition.
Document and visualize analytics both temporally and spatially, and present analytic results and uncertainty to decision makers.
Provide informational briefings to explain methodologies and analytical findings to peers and customer stakeholders.
Investigate and implement new scientific analysis and methodologies to support big data analytics efforts
TYPICAL EDUCATION AND EXPERIENCE:
- Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
- Must hold an active Top Secret Security Clearance (Top Secret SCI eligibility)
REQUIRED EDUCATION AND EXPERIENCE:
Must have at least 9+ years' relevant experience in Data Science / Engineering
BS, Master's or PhD in data science, math, computer science, physical science, or related field
5+ years of machine learning experience.
Secret clearance with Top Secret SCI eligibility
Experience with machine learning and artificial intelligence techniques and their implementations in open source technologies.
Experience in retrieving, manipulating, fusing, and exploiting multiple structured and unstructured data sets from various sources.
Experience with analyzing large volumes of data using distributed processing architectures (ie. Hadoop) with open source tools (e.g. Spark, Python, or R)
DESIRED EDUCATION AND EXPERIENCE:
Ability to design analytical lifecycle from data collection to production deployment.
Ability to assess mission value in a wide range of available data
Ability to identify problems to which data science can be applied and initiate solutions.
Ability to identify and analyze anomalous data (including metadata)
Ability to assess feasibility of existing methods, models and algorithms recognizing the capabilities and limitations of methods.
Knowledge of the end- to-end data science process, including following agile principles to progress from proof-of-concept analytics through prototypes into production.
Ability to work in a small, mission critical, devops team.
Ability to communicate and present analytics approaches and results Location
(Suggested KEYWORDS: Data, Data Modeling, Data Science, Logical, Physical, Analysis, Cloud, Agile, Machine, Learning, Artificial, Intelligence, Data Mining, Analytics, Predictive, Database, Architecture, Engineer, Virtualization, Engineering, Technology, Air Force, Applications, Red Hat OpenStack Platform, Red Hat Virtualization, VMWare, vSphere, Linux, Unix, Windows, Microsoft SQL Server, Oracle)
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC has approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com.
EOE AA M/F/Vet/Disability
Job Posting: Mar 14, 2018, 4:09:30 PM
Primary Location: United States-VA-RESTON
Clearance Level Must Currently Possess: Top Secret
Clearance Level Must Be Able to Obtain: Top Secret/SCI
Potential for Teleworking: No
Travel: Yes, 10% of the time
Shift: Day Job
Machine Learning / Artificial Intelligence Scientist
Job Description: & Qualifications
Ford Global Data Insight and Analytics (GDI&A) is looking for a data scientist with an emphasis on Machine Learning and scalable computing. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry. We are seeking an experienced Machine Learning scientist to assist in all phases of project work, including problem formulation, model development, and deployment for use in support of Ford Smart Mobility and Autonomous Vehicle initiatives. The job candidate should have great autonomy and self-discipline to conduct original research and choose appropriate methodologies to solve mobility problems. This position will involve the development and deployment of AI technology in areas such as autonomous vehicles, cybersecurity, customer interaction, manufacturing and connected vehicles.
The Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai, Europe, and China – is a growing team committed to enable Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners. Together our team works to understand our changing world, identify new opportunities, and take action to design and innovate for the future of mobility – Ford's vehicles and surrounding experiences.
Analyze source data and data flows, working with structured and unstructured data
Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
Apply AI/Machine Learning technology to solve real-world problems
Communicate and present models to business customers and executives
Coordinating with fellow data scientists from the Ford community in Dearborn, MI, Palo Alto, CA, Chennai, India, and Aachen, Germany.
- Master's degree in Computer Science, Computer Engineering, Statistics, Economics, Mathematics or Physics or related field
- 2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools to include one or more of the following: neural networks, deep learning, regression, classification, or clustering
PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
2+ years of experience with SQL, Spark, OR Hadoop
2+ years of experience of functional programming with Python, Scala, Java, OR C++
Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
Experience with Deep Learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or MxNet
Experience with Agile software development
Strong oral, written and interpersonal communication skills and an ability to work in a team environment
Comfortable working in an environment where problems are not always well-defined
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you'd expect from a diverse global leader. You'll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Artificial Intelligence / Machine Learning Engineer
A Cupertino Silicon Valley technology startup, with an ownership group track record of success (previous startup was sold to a tech giant), is looking for a AI/Machine Learning Engineer to assist in the development of their media application and tool. Opportunity to make an impactful contribution to a small team of experts who are developing Technology never done before. The app is already launched and available on multiple platforms with solid reviews. There is active interest and site visits from Fortune 25 Tech companies.
As an artificial Intelligence / Machine Learning engineer , you will be responsible for a core component
of an innovative consumer product from our Advanced Products and Technologies division. In this role,
you will deal with large-scale data set with intensive hands-on code development. In addition, this role
will be responsible for the following: Collect, process and cleanse raw data from a wide variety of
sources. Transform and convert unstructured data set into structured data products. Identify, generate,
and select modeling features from various data set. Train and build machine learning models to meet
product goals. Innovate new machine learning techniques to address product and business needs.
Analyze and evaluate performance results from model execution. To be successful, you need to be
highly motivated and detailed oriented while showing highest standards of responsibilities. We are
looking for candidates who strive in a fast paced start-up like environment.
We are looking for a candidate who can leverage/develop innovative machine learning and data mining
technologies, for solving novel and diverse sets of problems. Candidate should have a strong background
and experience in machine learning and information retrieval. Must have experience managing
end-to-end machine learning pipeline from data exploration, feature engineering, model building,
performance evaluation, and online testing with TB to Peta Bytes size data sets.
Requirements● 2+ years experience or PhD student from top 5 schools
● PhD in Computer Science, Machine Learning or Statistics desired
● Experience communicating with diverse teams including data scientists, engineers, product
managers, and executive management.
● Proven track record of delivering high quality analytics insights and solutions.
● Deep understanding, analysis, and mining of large corpora of structured and semi-structured
● Knowledge and experience managing and analyzing global data.
● Strong experience with Big Data (min 2 years of hands-on experience working on TB to PB scale
● Dataset experience in document, graph, log data, and semi-structured data
● Strength in Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition,
Information Retrieval, Natural Language Processing, or Search Ranking
● Experience innovating and implementing novel ML techniques
● Experience using all these ML techniques: clustering, regression, classification, graphical models,
mixture models, topic models, and matrix factorization
● Self driven individual who can take a high-level problem and see it to completion
● Knowledge of distributed computing solutions and ability to leverage them towards gaining
faster insights from data.
● Excellent communication and team promotion skills.
Base Compensation with Share Options
Head Of Machine Learning & Artificial Intelligence Experience Design
Adobe Design is looking for a Head of Sensei Product. This team is responsible for creating next-generation authoring tools powered by artificial intelligence and machine learning.
We need a versatile design leader with proven experience developing groundbreaking design solutions for complex and cutting-edge AI/ML technologies. This person will oversee the team designing new interfaces and interaction mechanisms for emerging AI/ML functionality. We are looking for someone who can not only define a strong design vision and set priorities, but who can also help influence the technical strategy for AI/ML across Adobe.
You have a deep knowledge not only of design but also of software engineering and machine learning algorithms. You are able to think across these disciplines, foster communication and guide collaboration between teams and individuals from a range of backgrounds and skillsets. You are a curious, articulate, and future-oriented designer. You push the boundaries of design, technology and user experience and are enthusiastic about the future of AI/ML in creative tools.
This is an opportunity to help shape the future of creative work and authoring tools at a company that has consistently set the industry standard and empowered creatives for over 30 years.
In this role, you will:
Lead a multidisciplinary team to conceptualize and develop design solutions to connect audiences with AI/ML functionality that will delight and inspire.
Collaborate with a range of teams to make shared AI/ML components and assets accessible to the Design team and across the company from prototyping through product integration.
Help create the future of how creatives work. This includes creating design strategy, presenting design vision inside and outside the team, inspiring teammates, and forging relationships across disciplines.
Keep up with rapid innovations in AI/ML across the industry, consistently bringing new ideas to the team and guiding internal and external customers in their AI/ML driven application adoption journey.
Work with a range of teams to align visual language and interaction mechanisms with underlying technologies.
Design, build and test interactive prototypes and prototyping methods to facilitate iterative designs within this emerging medium.
Work collaboratively with product managers, designers, engineers and researchers from across Adobe.
Lead, mentor, and scale a team.
Be the voice of the user, balancing user requirements, client objectives, and reality.
Evangelize for good design. Lead by example.
What you need to succeed:
Bachelor's or Master's degree in interaction design or equivalent design experience as well as considerable exposure to AI/ML technologies.
Ability to keep up with the latest advancements in AI/ML, identifying the relevance to creative tooling.
A proven track record of integrating technical and usability considerations into innovative prototypes and design solutions around emerging AI/ML technologies.
Experience manages teams through all phases of the design process, from discovery, through design, into development and release.
Ability to understand and communicate design through an engineering perspective and engineering through a design perspective.
Ability to accept and design against feedback from leadership in a rapid iterative design process and effectively produce multiple highly polished and professional finished works under tight timeline.
Solid understanding of algorithms, data structures and object-oriented design.
Real-world application experience with machine learning techniques and frameworks.
Keen interest in contributing to the creative spirit of the Design team and the company.
Passion for team building and mentoring. Experience defining vision, milestones, roadmaps and priorities.
Strong interpersonal, written and oral communication skills.
A deep love of design and a passion for enabling creatives through cutting-edge technologies.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Head Of Research, Artificial Intelligence And Machine Learning
Towers Crescent (12066), United States of America, Vienna, Virginia
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Head of Research, Artificial Intelligence and Machine Learning
The Artificial Intelligence (AI) Design team is looking for an industry-leading researcher to join our rapidly growing cross-functional team. In this role, you will build and oversee a team of researchers across our suite of artificial intelligence and machine learning products. Your team will be responsible for translating insights that guide and influence our product decisions and overarching vision. You will be required to articulate the vision of the team to design, engineering, and product leadership and be a strong advocate for the role of research in product development. You must become a trusted, strategic partner to product and line of business stakeholders by communicating and demonstrating the value of user research, and by delivering insights that lead to measurable customer and business impact.
What You'll Do
Build, manage, develop, lead, and support the AI research team, with the outcome of high-impact research insights that influence the product roadmap
Present research findings and insights both within and outside of the company
Serve as a thought partner with the executive, cross-functional, and line of business leadership teams
Be an evangelist of research practices throughout the company, influencing partner teams
MA/MS or PhD in Human Factors, Human Computer Interaction (HCI), Psychology, Sociology, Anthropology, or Linguistics
At least 10 years of experience with qualitative and quantitative research
At least 10 years of professional research experience
At least 5 years of research team management experience
At least 5 years of experience prioritizing in-house research efforts with expertise in different research methodologies, including but not limited to: qualitative, quantitative, ethnography, contextual inquiry, surveys, concept testing, usability validation, and experimentation
At least 5 years of experience discovering, synthesizing, and socializing actionable insights that have influenced product decisions
Experience working with AI/ML or system design
Track record of influencing machine learning products at scale
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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