Artificial Foliage Arranger Job Description Samples
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Machine Learning / Artificial Intelligence Scientist
Machine Learning / Artificial Intelligence Scientist
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 a high-potential 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 analyst needs to have strong self-discipline and have learning attitude to face different challenges in the fast changing mobility field. The job candidate should have great autonomy and self-discipline to conduct original research and choose appropriate methodologies to solve the world-class 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. This person will be a member of a team that will apply AI/Machine Learning to help develop innovative solutions for these problems and build a strategy for future progress in this area.
The Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai and Shanghai – 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
- Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely
- Execute both descriptive and inferential ad hoc requests in a timely manner
- Communicate and present models to business customers and executive
- Work collaboratively with different business partners and be able to present result in a clear and concise manner
- Teach and mentor others in the use of AI/Machine Learning
- Bachelor’s degree in a field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
- 2+ years of experience of functional programming with Python, Scala or LISP
- 2+ years of experience with SQL, Spark, Hadoop
- 2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification and clustering
- 2+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Oracle, SQL Server and DB2)
- Master's Degree or PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
- Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
- Experience with Deep Learning tools such as TensorFlow and Caffe on NVidia DevBoxes
- Experience with Agile software development
- Experience with parallel/grid computing is a plus
- Experience with contributing to open source projects is a plus
- Strong oral and written skills
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.
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Associate Requisition IDReq.42744# of Openings1Category (Portal Searching)Operations
Job LocationsUS-CA-Santa Rosa
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Research Intern: Artificial Intelligence
Research Intern: Artificial Intelligence + Pittsburgh, PA + Intern Company Description Bosch Research Pittsburgh will accept an enthusiastic and knowledgeable research intern for its investigations into developing context-aware intelligent systems.
We wish to develop a personalized system for smart environments, that is capable of making automation decisions on their behalf – using knowledge and context that is generated from past dialogue-based interactions, crowd-sourced structured text, and ambient environmental sensor data. Reasoning over this knowledge may be performed using several techniques, including: probabilistic methods, ontological methods, deep learning, and cognitive architecture. We expect the prospective intern to evaluate and compare multiple strategies.
Together with our faculty collaborators at Carnegie Mellon University’s Language Technologies Institute (in the School of Computer Science), we have made several key developments, which we expect the prospective intern to leverage and extend. Job Description Tasks: + Perform a literature review, to understand the state-of-the-art in context-aware personal assistance, knowledge representation and machine reasoning, and time-series inference and decision-making + Construct a knowledge graph, representing the primitive for machine-reasoning techniques + Analyze sensor data time-series to characterize environmental conditions, with respect to user state + Compare the performance of various reasoning methods + Summarize the findings and contribute to a high quality research paper + Formalize the findings and contribute to a patent submission Qualifications Qualifications: + Strong background in machine learning, ontological reasoning, and probabilistic reasoning + Familiarity with Natural Language Processing (NLP) + Practical experience in developing inference models from time-series data + Practical experience in using MATLAB, R, SciKit, and/or other data analytics toolkits + Publication in top conferences is a plus (e.g., ICAI, IPSN, KDD, ICML, ICDM, AAAI, ISWC, ACL) + Strong research and problem-solving skills + Major(s): Computer Science, Electrical & Computer Engineering, or other relevant area
Degree level: PhD (current student or recent graduate) or experienced MS in Computer Science Additional Information Duration:14 weeks minimum Start Date:as soon as possible Please indicate what dates you will be available. All your information will be kept confidential according to EEO guidelines.
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Staff Artificial Intelligence Engineer
Staff Artificial Intelligence Engineer Job Highlights
Perform research, development, engineering, evaluation, and integration in the field of computational linguistics Why Should I Consider MITRE? Working at MITRE at http://www.mitre.org/careers/working-at-mitre
Key Functions The position involves researching, developing, engineering, evaluating, integrating, and assisting sponsors with tools for computational linguistics. The areas include but are not limited to machine translation, translation memory, information extraction, name-matching, speech/audio processing, document exploitation, and evaluation. The candidate must be able to range between high-level strategic activities and day-to-day sponsor site activities.
VA: McLean Campus
Required Skills: Experience with computational linguistics tools. Ability to advise sponsor on integration of human language technology into existing sponsor systems.
Ability to evaluate human language technology. Experience in computational linguistics.
Preferred Qualifications Bachelor’s or Master’s preferred in computational linguistics, artificial intelligence, computer science, or mathematics. Minimum Education/ Experience
BS Travel Statement *This position will require overnight travel up to xx % of the time as well as some local travel.
Clearance Statement To be eligible for consideration for this position, a current Top Secret clearance is required.
Relocation Assistance Provided
Req ID 28978BR
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Senior Staff/Research Engineer – Artificial Intelligence Technologies
Company Introduction As one of the largest automotive suppliers in the world - Magna International is committed to delivering product and process innovations through our world-class manufacturing operations that combine our unique design, engineering and program management expertise. At the heart of our operating structure is a powerful entrepreneurial culture and Fair Enterprise philosophy, which builds ownership and inspires pride in our employees.
Lead technology roadmap and strategy development for Magna products in the Artificial Intelligence (AI) Technology Domain, including but not limited to the following AI disciplines: Knowledge Representation, Search, Constraint Satisfaction and Machine Learning Techniques, Agent Cognitive Architectures, and Underlying Hardware Architectures. * Conduct technical evaluations of technologies and products being considered by Magna, including but not limited to: technology deep dives, vehicle integration, application analysis, manufacturability, market analysis and cost analysis
Create a consistent framework within which all parts of the organization (commercial and technical) can contribute to the knowledgebase to enable a comprehensive and accurate ranking and assessment of 10-20 major players in the domain with a deep dive of the top 3-5 technologies.
Plan, Organize, Execute and Coordinate meaningful R&D; programs with internal and external Engineering and R&D; Departments, companies, institutions and academia.
Closely collaborate with researchers to guide the course of complex R&D; projects and jointly develop patents and prototypes that can contribute to the commercial success of current and future Magna products or technologies.
Maintain liaison with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area.
Lead advanced strategy development for future Artificial Intelligence Technologies (as per the definition in the Job Introduction) and products based on trend analysis and business strategy.
Lead the ideation process and identify gaps in the existing products and technologies to guide advanced strategy targets that are critical to Magna.
Lead the evaluation of Artificial Intelligence technologies (as per the definition in the Job Introduction) and product designs with adherence to scientific principles, engineering principles, company standards, customer requirements and related specifications.
Conceive of, plan, design and conduct research programs applying theory and principles of physics, chemistry and mathematics. Guide programs and establish scientific and technical directions.
Analyze research results and guide projects to determine feasibility for improvement of component and systems, and functional and performance specifications.
Confer with other project engineers to clarify or resolve problems and develop designs.
Correlate experimental data to simulation data.
Use related computer software and equipment to perform technical analysis tasks.
Maintain project schedules by monitoring project progress, coordinating activities, estimating timing needs and hurdles, sequencing project elements and resolving problems. Prepare and present project progress reports.
Maintain proper filing systems to ensure all information, (electronic or hard copy), is stored according to departments requirements.
Specify requests and coordinate all sub-contracted work (e.g. FEAs, product validation, prototype parts manufacturing, CAD drawing file conversion, etc.) and assure timely completion
Support Testing & Validation activities by specifying test requirement & ensuring tests are completed to specification
Create and execute Test Matrix & P/DFMEA documents – performs analysis of result data to draw conclusions and recommendations.
Interpret technical specifications from OEMS and other sources
Create a repository of relevant specifications and validation procedures for the set of Artificial Intelligence technologies (as per the definition in the Job Introduction) and related products being prototyped and evaluated.
Contribute to team effort by providing innovative ideas for products and processes and by sharing new information with others team members
Support the development of innovative components and modules from the initial concept phase through the complete development process including design engineering, validation, prototyping, testing, and evaluation of the proposed production capable process and business case.
Maintain professional and technical knowledge by reviewing professional publications and establishing personal networks
Present papers, participate in symposia and committees on behalf of the group
Participate on advisory boards and serve as peer reviewer of technical programs. Network nationally and internationally to advance the team’s knowledge.
Keep self and the organization abreast of developments in his/her programs, new technical methods and developments affecting the group for the purpose of recommend changes warranted by such developments. Use this information to update the technology roadmap for Artificial Intelligence Technology.
Pursue education and/or training in Artificial Intelligence technologies
Demonstrate sustained innovation and creativity leading to significant project accomplishments without direct technical supervision. Supervision provided as required on particular assignments as well as on broader general objectives and limits.
Knowledge and Education
Master’s degree or above in Engineering or a “Hard” Science field (Mathematics, Computer Science, Physics, or Chemistry) with exceptional qualifications and experience in research or development (product, material or process); ##### Work Experience * 5-10 years of recent, in-depth, hands-on experience with one or more of the following in the field of Artificial Intelligence (as per the definition in the Job Introduction): requirements, design, development, validation
Demonstrated ability to apply extensive and advanced principles, theories and concepts, and contribute to the development of solutions to complex problems that require innovation and ingenuity.
Demonstrated ability to recognize new science and technologies relevant within existing trends and business strategy and extend them into new applications
Demonstrated technical ability and creativity to initiate, direct, and control specific projects.
Strong spoken and written English language skills. Additional languages desirable.
Experience with Design for Manufacturing and Failure Mode Effect Analysis (DFMEA/PFMEA) * Experience with Manufacturing Process, Assembly methods and materials used in automotive products
Understanding of ANSI, SAE, QS-9000 and other industry/customer related standards
Skills and Competencies
5-10 years of in-depth experience in a technology area related to Artificial Intelligence (as per the definition in the Job Introduction), or equivalent combination of education/experience. This level is not reached on the basis of seniority and satisfactory performance alone. It is based on outstanding qualifications and the needs of the position. Able to act as an authority in her/his field. * AI disciplines of particular interest: Knowledge Representation, Search, Constraint Satisfaction and Machine Learning Techniques, Agent Cognitive Architectures, and Underlying Hardware Architectures. ##### Work Environment
While performing the duties of this job, the employee is regularly required to talk and hear and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
Responsible for working in compliance with the provisions of the Health and Safety Act as well as any rules or standards otherwise specified by OSHA or MIOSHA or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
DIRECT SUPERVISORY RESPONSIBILITIES: * None INDIRECT SUPERVISORY RESPONSIBILITIES (in working with external groups): * Plan, organizing, and supervise the work of external staff(s) of engineers, scientists and technicians pertaining to projects s/he is responsible for
Evaluate progress of the external staff and results obtained.
Recommend changes to achieve overall objectives.
Advise on the management of staffing needs, selection/ assessment criteria, and hiring process.
Group: Magna Corporate Division: Magna Services of America State/Province/County: Michigan City: Troy Job Type: Regular
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Analytics And Artificial Intelligence Architecture Lead
Job Description Analytics and Artificial Intelligence is making a major impact across research and industry, including the largest internet companies and the most exciting startups, seeking to enable improved business intelligence. We are looking for an architecture leader in Analytics and Artificial Intelligence for Intel’s Data Center Group. This position offers the opportunity to have real impact in a fast-moving, technology-focused group in Intel. This person is expected to provide vision and technical leadership in Analytics and Artificial Intelligence to establish Intel as a leader in the field, anticipate future AI workloads, define next generation hardware and software architectures, and partner with the ecosystem (academic research, government, opensource) to establish mindshare. This includes work to define innovative architectures for system HW, CPU and software, to extend the state of the art in AI performance and efficiency, analyze and prototype key data analytics algorithms and applications, understand and analyze the interplay of hardware and software architectures on future algorithms and applications, and collaborate across the company to guide the direction of analytics and AI, working with research and product teams.
MS or PhD degree in Computer Science, Artificial Intelligence, Analytics, Machine Learning, or related technical field. Strong mathematical foundation in machine learning and deep learning. Strong background in Analytics and Artificial Intelligence including Machine Learning and Computer Vision
Strong programming skills in but not limited to: C, C++, Perl, Python, R, or Go
Experience with one or more open-source ML/DL Frameworks: e.g. Caffe, TensorFlow, Torch, Spark
Strong background in computer architecture
Experience with Systems Architecture
Experience with systems-level performance modeling, profiling, and analysis
Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
Management experience of architecture/engineering teams
Inside this Business Group The Data Center Group (DCG) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
Other Locations Oregon, Hillsboro; 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. Position of Trust. This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Talent Consultant.
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Computer Scientist - Artificial Intelligence
Computer Scientist - Artificial IntelligenceApplyInformation Sciences InstituteMarina del Rey, California The Information Sciences Institute (ISI) is home to over 100 researchers in artificial intelligence who carry out world-class research in a collaborative, academic environment. ISI is part of the University of Southern California (USC) and a sister to USC’s Computer Science Department, Electrical Engineering Department, and others in the Viterbi School of Engineering.
ISI scientists have the opportunity to spend the majority of their time doing the research they love. Projects are critically accelerated by research programmers and students at all levels, and USC operates one of the world’s largest high-performance computing clusters. This position is located in Marina del Rey, CA The successful computer scientist candidate will be capable of generating research ideas and solutions to complex computer science problems, providing research support on problems of diverse scope, and executing research projects in collaboration with others.
Applies computer science and other scientific principles and concepts in planning, coordinating and executing research objectives. Contributes to state-of-the-art technology and theories. Solves a wide range of research problems.
Creates or modifies methods and techniques for obtaining solutions. Writes articles for publication. Interacts with peers.
Makes presentations at conferences, and participates in workshops and collaborates in specific areas of research. ISI welcomes applications from computer scientists in any of the following areas: • Information Extraction • Semantic Web • Biomedical data integration and knowledge engineering • Intersection of Neuroscience and Computing • Information Integration • Interactive Knowledge Capture • Semantic eScience • Machine Translation • Natural Language Processing • Robotics • Social networks and Social Media Analytics • Machine learning • Data Science The University of Southern California values diversity, and is committed to equal opportunity in employment. Minimum Education:
Master's degree, Combined experience/education as substitute for minimum education Minimum Experience: 3 years Minimum Field of Expertise: Knowledge of research processes and computer science. PREFERRED EDUCATION: PhD REQ20041434 Posted Date: 04/13/2017
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Director Of Artificial Intelligence (Ai)
Title: Director of Artificial Intelligence (AI)
Target Openings: 1 Primary Job Duties & Responsibilities: Strategy & Roadmap Development: Actively support the Artificial Intelligence capability leaders to engage the analytic, business, and IT communities to develop and deliver a 1-3 year strategy of Artificial Intelligence for Travelers.
Support the ongoing development of the roadmap and detail execution plans to achieve the vision through multi-generational releases. Condense the vision into detailed capabilities, complete a gap analysis, and document use cases and requirements in support of the vision. Develop and drive development and delivery of a business cases for overall strategy as well as specific projects supporting the strategy.
Change Management: Lead change and support capability leaders in the adoption of the overall strategy and specific capabilities across Travelers. Communicate with key stakeholders to share the strategy and status of activities aligned to delivering on the strategy.
Ensure organizational 'buy-in' to road map and execution plans across multiple opportunities. Project Execution: Provide direct business project management leadership in conjunction with IT management to deliver specific projects under larger program, and vision, structure.
Collaborate with leaders to manage vendor/partner relationships as appropriate. Support capability leaders to 'bridge' technology, offer guidance, and actively support the implementation/integration of AI across Travelers. Capability Support & Leadership:
Engage with enterprise partners to ensure that service level agreements are met and capabilities are delivered to meet the business demand. Define process, create appropriate governance routines, adapt policies and standards as needed to support new capability usage. Perform other duties as assigned.
Job Opening ID: 11293BR
Equal Employment Opportunity Statement: Travelers is an equal opportunity employer.
Job Specific & Technical Skills & Competencies: Able to build strong relationships with a diverse group of stakeholders. Strong program management and team building skills.
Strong strategic thinking skills and demonstrated thought leadership in the business intelligence space. Strong influencing and/or consulting skills; able to build consensus between a diverse group of stakeholders. Excellent verbal and written communication skills; able to tailor communication style to the audience. Ability to work in a fast paced, evolutionary environment.
Job Category: Corporate Services/Other
Job Summary: Facilitate across Travelers to develop and deliver an Artificial Intelligence Capability Vision (strategy) and objectives to build a competitive advantage in this space. This role will support the development and execution of a roadmap plan to deliver key capabilities and realize the associated business benefits. The Capability support role requires significant cross-Travelers collaboration and understanding of Travelers business model to unite the community around the Strategy and Roadmap to bring that Vision to life. This role will bridge the analytic and business communities and key IT relationships to develop and deliver the Artificial Intelligence Roadmap as well as support the portfolio of Artificial Intelligence Capabilities. This job is a Team Lead: Directs daily work activities of a small group of employees. Works with higher level manager to set goals/objectives and provides input regarding performance of employees being led. Employees do not typically have formal reporting relationship to a team lead job. This job works under General Direction: Establishes procedures for attaining specific goals and objectives in a broad area of work. Generally final results are reviewed. (Typically applies to a manager or expert/top level professional.)
Position Type: Experienced/Professional Education, Work Experience & Knowledge: Bachelors degree in computer science, MIS, mathematics, finance, statistics, or equivalent preferred.
Five years of analytics experience preferred.
Five years of consulting, business analysis, or business case development experience preferred. Artificial Intelligence, Machine Learning, and/or Cognitive Computing knowledge and/or experience preferred.
Physical Requirements: Operates standard office equipment (Continuously) Sitting (Can stand at will) (Continuously) Use of Keyboards, Sporadic 10-Key (Continuously)
Minimum Qualifications: Bachelors degree required. Three years of consulting, business analysis, business case development, or equivalent experience required.
Company Information: Solid reputation, passionate people and endless opportunities. That's Travelers.
Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.
Primary Location: Hartford
Artificial Intelligence Research Developer
At Globant (www.globant.com) we strive daily to deliver powerful innovative software solutions for our clients through our unique Digital Journey approach. Our passion for technology reverberates in every area of our organization and drives our creativity.
Working for us means being at the convergence of engineering, design, innovation and scale. It means being part of a tightly knit and driven team whose work directly affects the products and bottom line of our clients. Our bar is high, but so are the results we achieve.
As a Artificial Intelligence Research Developer, you will be using AI to help redesign how we solve critical applied business problems for large firms. So strong experience and competencies with AI technologies are required. All of our engineers are backed up by our Technical Directors and Studios (centers of excellence), and our project team(s) of amazing “Globers”. Each team, while having their own personality, are part of the global tapestry that makes up our powerful culture of collaboration, agility and impact.
The primary purpose of our applied research is to arrive at new applications of AI and demonstrate their practical benefits on critical industry business problems. These applications go across industry or business functions. You may have the chance to pursue machine learning in the context of a risk application with an insurance company, or marketing intelligence with a retailer, or fraud detection with a bank – to name a few.
With this in mind, researchers must be able to: • Explore and define new research problems within the research agenda of the AI group • Implement and execute projects within the AI group • Build on ideas provided by leads and stakeholders and produce high quality deliverables Our researchers participate in collaborative research between academia and industry and integrate resulting approaches into our projects. As such, researchers are expected to: • Actively participate in their technology community by building relationships and serving as a technology expert when working with clients • Actively participate and serve in the research community and build university relationships • Explore and apply for research grants from internal and external funding organizations Basic Qualifications: • Bachelor’s Degree in Computer Science or equivalent • 1+ years of application development with experience using 2 or more programming languages, such as Python, Java, Scala, C#, .NET, etc. Preferred Qualifications: • AI related coursework or development experience We look at the software development process from the three different but complementary perspectives of engineering, design, and innovation...in a constant quest for new insights.
We also believe in showing our people how much we value them, which is why one of the many benefits we offer is a fully paid by company PPO health plan. Globant is an EOE M/F/D/V. For many positions, relocation is available if needed. Globant does not accept unsolicited third party resumes.
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Artificial Intelligence / Machine Learning Performance Engineer
Mellanox Technologies is looking for an experienced performance test engineer with specific focus on Artificial Intelligence / Machine Learning in distributed environments. The position will be responsible for supporting the Marketing Development and Engineering groups and be focused around performance tuning, benchmarking, and performance modeling and analysis using Mellanoxâ€™s high speed interconnect solutions. Perform testing and report results for performance of various machine learning frameworks with a focus on current networking products, and products under development to estimate future performance
Assist End-Users, ISVs and other software developers leveraging machine learning techniques to qualify and obtain optimal performance of their software products
Tune performance of customer codes and benchmarks
Characterize performance of distributed artificial intelligence and machine learning frameworks and applications
Work with Product Development and Engineering teams to develop test methodologies Write papers, presentations and other reports to enable Mellanox marketing and sales to effectively communicate the performance advantages of Mellanox products
Active involvement with Marketing, and Applications Engineering for debug and customer problem solving
Experience working in a lab environment occasionally which may include some hardware troubleshooting (adapters/servers, etc) RequiredB.S. degree in Computer Science, related technical field or equivalent practical experience
Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
Experience contributing to research communities and/or efforts, including publications at conferences Experience in Natural Language Processing, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)Programming experience in Python or C++Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Experience using performance analysis tools such as profilers, thread analyzers Preferred Distributed / Scale-out Machine Learning environment
Experience with high speed networking, RDMA and RoCE technologies Knowledge in multiple frameworks including TensorFlow, Caffe, Torch, CNTK or PaddlePaddle2+ years of experience with HPC performance engineering or HPC applications areas including experience with parallel computing using MPI is desiredGPU programming experience
Knowledge with current hardware architecture and industry trends in cognitive computing is highly desirable
Real world problem solving skills and experience
Imagination, ambition, intense curiosity and a desire to showcase knowledge and expertise in current and future applications of machine learning / artificial intelligence
Local candidates/willingness to relocate to the Silicon Valley Area preferred About UsMellanox Technologies was founded in 1999 and has headquarters in Sunnyvale, CA and Yokneam, Israel. We are a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage.
We offer market-leading solutions that include adapter cards, switches, cables and software to support InfiniBand and Ethernet networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0.
We are constantly reinventing ourselves to stay ahead of the market and bring game-changing products and services to the industry. About YouMellanox is an incubator for talent. We are a strong believer in developing our people and giving them the tools to succeed.
We have a very competitive compensation package as well as frequent internal product training to keep people updated on new technologies. We are a fast growing company with a positive energy that comes from our team members' internal drive to develop, market, sell and support cutting-edge products and services. Mellanox often promotes from within and there's a sense of family that comes from the top down.
We are committed to the community and donate 1% of our annual profit to charity as well as participate in green initiatives to reduce our carbon footprint. BenefitsMellanox Technologies offers a competitive benefits program including medical, dental and vision insurance, 3-weeksâ€™ vacation, 10-paid holidays, sick leave, x2 annual salary Life Insurance/AD&D, 401K with company contribution, ESPP, and Stock (RSUs). At Mellanox, the work of each individual makes an impact on the success of our company. If you are looking for a rewarding career, talented colleagues and a great environment where you can challenge yourself, grow and lead, Mellanox is the right place for you.
Equal Employment Opportunity Mellanox is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, national origin, ancestry, sex, gender, pregnancy, childbirth or related medical condition, religious creed, physical disability, mental disability, age, medical condition, marital status, sexual orientation, veteran status, genetic characteristics, gender identity/expression, or any other characteristics protected by federal, state or local law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and all other terms and conditions of employment. If you need assistance to perform your job duties because of a physical or mental condition, please let our Human Resources department know. .
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