We Are:

Accenture Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power and deep knowledge of just about every industry. We believe a mix of data, analytics, automation and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

You Are:

A cloud data engineering maven who thrives in a team setting where you can turn your prodigious creative and analytical powers to obliterating problems. Your superpower? Building and delivering AWS and/or Azure Cloud architecture and solutions to help our clients meet the soaring data and cloud demands of building data pipelines, AI and machine learning solutions, advanced analytics, open source and other emerging digital technologies. You have top-notch communication and people skills and you’re up for traveling regularly to client sites (post COVID).

The Work:

Build end to end data pipeline, feature engineering solution and prepare data to generate insights to help clients make smarter decisions

Help in a full technical discovery, spotting pain points, business and technical requirements, and “as is” and “to be” scenarios

Assess the full technology stack of services needed including PaaS (Platform-as-a-Service), IaaS (Infrastructure-as-a-Service), SaaS (Software-as-a-Service), operations, management and automation

Interact mainly with your direct supervisor and be ready to interact with peers and/or managers on the client side and/or within Accenture

Make your own decisions to define solutions and ask for guidance on complex problems

Apply methodology, reusable assets, and previous work experience so that your work is always of high quality

Compare alternative solutions from both technical and business perspectives which support the define-cost and service requirements

Keep up to speed on new and emerging technologies/patterns/methodologies and products that may be of interest to our clients

We are:

Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

You Are:

A Spark or Cloud Data engineering pro—someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re passionate about digital technology, and you take pride in making a tangible difference. You have communication and people skills in spades, along with strong leadership chops. Complex issues don’t faze you thanks to your razor-sharp critical thinking skills. Working in an information systems environment makes you more than happy.

The Work:

• Consult as part of a team that is in charge of building end-to-end digital transformation capabilities and lead fast moving development teams using Agile methodologies.
• Design and build real-time analytics solutions using industry standard technologies and work with data architects to make sure Cloud Data solutions align with technology direction.
• Lead by example, role-modeling best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response.
• Keep everyone from individual contributors to top executives in the loop about progress, communicating across organizations and levels.  If critical issues block progress, refer them up the chain of command to be resolved in a timely manner. 
• Develop Cloud Native architecture, data supply chain, Architect, Prototype and Test end to end data supply chain, use cases that drive business value, and provide architecture support to the data scientists.
• Pinpoint and clarify key issues that need action, lead the response and articulate results clearly in actionable form.
• Show a strong aptitude for carrying out solutions and translating objectives into a scalable solution that meets end customers’ needs within deadlines.
• Collaborate with Data Scientist, Security or Research teams working on a variety of AI/ML solutions.

Schlumberger's engineering and manufacturing teams turn groundbreaking ideas into tangible solutions that transform the way our customers operate. Our engineers redefine their discipline, spearheading development across mechanics, modeling, electronics, and robotics. Leveraging a delivery excellence mindset, our product development engineers work hand in hand with manufacturing, quality, and supply chain experts to design and execute manufacturing plans with unparalleled precision and flexibility. Together, these squads ensure that leading-edge technology makes it out of the design phase and into the hands of global E&P operators. Our teams explore the intersections of data science, maintenance, and operations alongside our digital technology and technology lifecycle management experts, coming together to form a continuous loop of innovation.

Grow to Your Fullest Potential
In an industry as challenging as energy, there are no "easy" solutions. From day one, our teams are immersed in a culture that seizes every opportunity to tackle tough challenges.

With our hallmark training and development programs, Schlumberger supports the professional growth of every employee at every career stage. The result is an environment where potential is limitless and bold ideas are embraced with vigor.

Schlumberger is leading our industry into the digital transformation. Our digital technology experts harness the full power of data to solve the domain's biggest challenges. We leverage the elasticity and collaboration of the cloud, apply the efficiency of high-performance computing, tap into the connectivity of the Industrial Internet of Things (IIoT), and create the industry's most advanced data ecosystems. Data drives everything we do, and our teams are at the heart of each innovation, collaborating with interdisciplinary experts to shape our dynamic global industry.

NEC Laboratories America (www.nec-labs.com) conducts research in support of NEC's US and global business. Our lab has a broad research program that covers many areas and maintains a balance of fundamental and applied research.

The Integrated Systems group located in Princeton, NJ and San Jose, CA, invites applications from exceptional candidates (senior-level or junior-level) for full-time research positions. Our mission is to innovate, design, evaluate and deliver complex, real-time analytics systems, with applications in domains like public safety, video surveillance, retail and transportation. R&D projects aim to gain utility from state of the art AI and ML techniques, and cover topics in data stream fusion using state of the art AI/ML engines, stream processing and control of large and complex intelligent services, edge/cloud computing for streaming analytics, and optimization of analytics applications in 5G network slices.

Requirements:

• PhD in Computer Science (or equivalent)

• Strong ability to propose and execute innovative systems projects

• Strong research record and exposure to building large and complex distributed systems

• Strong publication record at top-tier systems conferences

• Experience with cloud computing, design of parallel software, exposure to AI/ML workloads

• Programming skills in C, C++, Python

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3408214.

Equal Opportunity Employer

The Mobile Communications and Networking (MCN) research department is actively engaged in cutting-edge research on wireless sensing, tracking and localization that cover both the algorithmic challenges and the design and development of end-to-end solutions. The solutions focus on practical problems in diverse domains ranging from public safety to digital health and industrial automation. The group is excited to grow in the following two domains.

On wireless localization and tracking, the group is looking for highly motivated researchers with expertise in the broad area of low-power, embedded wireless systems, with a particular emphasis on the following skill sets:

• Innovate, design and build embedded wireless systems leveraging state-of-the-art IoT platforms with a keen focus on resource-constrained environments
• Expertise in low power RF circuit design
• Experience with energy-harvesting, backscatter wireless systems is a plus
• Experience in integrating embedded wireless systems with application software to deliver end-to-end solutions

On wireless sensing, the group is looking for a highly motivated researcher with expertise in the broad area of digital signal processing, embedded wireless systems, with a particular emphasis on the following skill sets:

• Innovate, design and build wireless sensing systems leveraging state-of-the-art radar, LiDAR, SONAR with a focus on resource-constrained environments
• Expertise/understanding of high-resolution wireless sensing technologies, e.g. mmWave and UWB for sensing of environment and human health characteristics
• Experience in applying signal processing and machine learning techniques to raw signals and translating them to application-level inferences
• Experience in embedded/low-power systems e.g. low power systems, FPGAs, CPLDs is a plus

Ideal candidates will have one or more of the above expertise and is expected to have a Ph.D. in CS or EE/ECE, an active research record, and will complement the current strengths of the department.

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3330680.

Equal Opportunity Employer

The Machine Learning Department in Princeton, NJ, has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research as well as a keen sense for developing practical applications are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. Many technologies developed in our group have been released as innovative products and services of NEC, such as systems for recruiting, surveillance, inspection of manufactured goods, and digital pathology. In addition to contributing to NEC’s business, our research is published in premier venues. Among the challenges we are tackling now are, how to move machine learning to more abstract reasoning, and how this can enable new applications in smart manufacturing, safe cities, and personalized heath care.
http://www.nec-labs.com/research-departments/machine-learning/machine-learning-home

Requirements

• PhD in computer science, statistics, or equivalent
• Research experience in machine learning with strong publication record
• Strong algorithm and numeric computation background
• Programming experience in Python, Lua, C++, or other languages
• Experience with deep learning libraries and platforms a plus, e.g. PyTorch, TensorFlow, or Caffe

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3206183.

Equal Opportunity Employer

The Media Analytics Department is seeking outstanding researchers with backgrounds in computer vision or machine learning. Candidates must possess an exceptional track record of original research and passion to create high impact products. Our researchers are expected to establish global leadership in their communities.

NEC Labs provides a vibrant research environment and the Media Analytics team publishes extensively at top-tier venues such as CVPR, ICCV or ECCV. Our key research areas include 3D scene understanding, representation learning and privacy. We are located in San Jose, with a strong internship program and active collaborations with academia. To check out our latest work, please visit: https://bit.ly/39VHNxa.

• PhD in Computer Science (or equivalent)
• Strong publication record at top-tier computer vision or machine learning venues
• Motivation to conduct independent research from conception to implementation
• Programming skills in Python, C or C++

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3153152.

Equal Opportunity Employer