Set technical and research roadmap for AI Foundation or even company level machine learning roadmaps (at principal level) and able to lead its implementation.

Be able to solve hardest issues of AI Foundation team from fundamental algorithm development, implementation and optimization to deliver product metrics.

Lead cross-organizational projects to improve features/models that benefit company OKR.

Set visions for company’s research direction to be industry leading in areas of personalized discovery and related areas.

In this position, you are expected to utilize your industry leading expertise on one or more of following R&D areas to provide cutting edge solutions or core technologies for SmartNews recommendation systems (Ads, News, etc).

Be a great mentor to other machine learning scientists.

Promote AI first culture and distill AI mindset across engineering teams (principal level).

PhD in Computer Science, Mathematics, Physics or other quantitative fields.

8+ years of experience in designing and implementing state-of-the-art machine learning algorithms, and applying them to real world problems.

Industry leading expertise in certain domain of machine learning techniques, especially in deep learning, natural language processing, recommendation systems, computer visions.

Long term tracking record of successfully deliver improvement of features/models to production systems with high impact by working across teams and organizations.

Influential publications at top industry conferences/journals, well recognized in the industry for the domain of expertise.

Strong mentors of senior machine learning scientists and able to grow them to the next level.

Good written and spoken communication skills, can work across functional teams.

Strong coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala).

Responsible for setting the general technical roadmap of news ranking team and drive its major projects as tech lead.

Be able to work across product and platform organizations to orchestrate large scope projects that significantly improve news ranking and achieve key engagement KPIs.

Design and develop high level frameworks to integrate various contents, features, models into one single system of news ranking.

Be able to effectively tradeoff overlapping/conflicting engagement metrics to optimize user experience in the interest of company mission.

Lead design and implementation of machine learning algorithms, combining with rule-based optimization to deliver significant improvement in product metrics.

8+ years of experience in designing and implementing machine learning algorithms, and applying them to real world problems.

In-depth machine Learning expertise in natural language processing,recommendation systems or computer visions.

Have proven track record of hands-on design and coding experience in building and deploying multi-tier recommendation systems at scale with high impact.

Able to have deep end-to-end understanding of sophisticated ranking systems and able to design high level frameworks to fundamentally improve the system.

Able to distill and solve complex problems of news ranking team and able to provide good insights to hard problems of upstream/downstream teams.

Able to mentor and grow senior engineers to next level.

Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala).

MS or BS in computer science, mathematics, physics or other quantitative fields.

Responsible to set the technical directions of critical areas of US Growth team and drive its major projects as tech lead.

Work across US Growth team, and effectively resolve collaboration issues with dependency teams to successfully deliver KPI improvement.

Define and promote best practices of US Growth including engineering quality and efficiency.

Design and develop frameworks / architecture to make the team to iterate fast, and collaboration of other teams and US Growth to be productive.

Solve the hardest problems of the team.

MS or BS in computer science, mathematics, physics or other quantitative fields.

6+ years of experience in architecting, developing, and shipping software products with large scale.

Able to distill complex problems and drive toward creative solutions.

Able to have deep end-to-end understanding of sophisticated distributed systems and can proactively detect problems and make/implement improvement suggestions.

Able to demonstrate strong leadership and set as an example at team level for engineering excellence.

Able to thrive in a dynamic environment where goals and requirements may be changing.

Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala).

Good written and spoken communication skills, can work across functional teams.

Understand, deploy and provide technical support for infrastructure systems.

Engage in system design and development from the perspective of SRE.

Responsible for identifying and mitigating real and potential system problems and issues.

Ensure and improve security, stability and scalability by creating new code and scripting.

Monitor and maintain enterprise level data centers.

Handle and debug complex server and service related issues.

M.S. or B.S. in Computer Engineering and/or Computer Science.

Familiarity with networking fundamentals and LINUX.

Strong communication skills and the ability to work across technical teams.

Proficiency in Python and / or Bash.

Proven understanding and use of Docker.

Build benchmarking tools to evaluate, understand system performance.

Develop & Optimize performance critical system projects in autonomous driving system.

Develop infrastructure system projects.

Highly self-motivated learner.

Hands-on experiences and solid understandings on system/performance optimization.

Strong system building skill & knowledge, solid understanding of Operating System, Parallel Computing, Distributed System.

Strong programming skills in C++.

Comfortable and experienced in software development life cycle – coding, debugging, optimization, testing, integration.

MS/PhD in Computer Science or other related fields.

Good communication skills and team collaboration.

Firmware implementation of baseband processing modules.

Work with systems/algorithm team for design specs and test vectors.

Work with verification team for test plan and function coverage.

Design for power/performance optimizations.

MSEE/Ph.D in electrical engineering with desired experience in cellular modem DSP firmware design and verification is preferred.

Experience with DSP firmware SW design and a track record of developing complex DSP functions in successful products.

Relevant experience includes one or more of the following areas: UMTS/HSPA, LTE, 5G,

and physical layer algorithms with hands-on implementation and debugging.

Experience with DSP firmware implementation. Strong C/C++ programming skills, matlab is a plus.

Experience with RTOS embedded development.

Knowledge of C/C++/systemC and DSP algorithm modeling is a plus.

Formulate ill-defined problems with data driven approach for self-driving truck solutions.

Be responsible for developing, training, inferencing and evaluating machine learning algorithms and/or models.

Build benchmark with proper methodology and analyze large-scale log data to characterize algorithms performance.

Able to work independently with minimum supervision and deliver high-quality and reliable code for real-time application in a timely manner.

Collaborate with other teams to conduct integration and tests.

MS or PhD in Computer Science, Machine learning or other related fields.

Solid knowledge and proven practical experience in one or more of the following fields: graphical models, time series, optimization, probabilistic filtering, and supervised/unsupervised methods.

Practical experience in processing large-scale and real-world data.

Strong coding skills in Python or C/C++.

Working on software system integration on autonomous driving truck.

Working on operating system, middleware for autonomous system.

Working on sensor and device driver development.

Analyzing performance for autonomous driving software stack.

Debugging software and hardware bugs for autonomous driving truck.

Master degree in computer science, computer engineering or electrical engineering. Or bachelor degree in equivalent majors with at least 3 years experience in software developing and testing.

At least two years experience with popular robotics middleware including but not limited to ROS, Apollo and RT-MAPs.

At least two years academic or industrial experience with autonomous driving vehicle.

Familiar with autonomous driving vehicle software component including perception, localization, motion planning and control.

Experience working with sensors including but not limited to Lidar, radar, camera, IMU, GPS.

Familiar with communication protocol including but not limited to TCP, UDP, USB, CAN bus, I2C, SPI.

Familiar with multi-threading programming and inter-process communication.

Proficient in C++ and python and having good knowledge of commonly used debugging tool including gdb and pdb.

At least two years experience with Linux.

Drive the display roadmap, define the functions and specifications of the display processing subsystem and each IP module (HDR, gamut and color processing, contrast enhancement etc.), and develop algorithms, improve display performance through modeling and simulations.

Define the optimal job partition between SoC and DDIC to achieve the best performance and power tradeoffs.

Work with internal teams and external vendors to characterize and improve display performance, customize DDIC design.

Research and explore the next-gen display technology including 3D display, light field, multi-view, and holograph.

MS/PhD in relevant field (EE, CS, Optics, Physics), with 8+ years work experience.

5+ years of hands-on experience with display technology, including gamut and color calibration, analysis and perceptual interpretation.

Deep understanding of the latest and next-generation display technologies including OLED, mini LED, and Micro LED.

Deep understanding of the modeling and designing optical and electrical characteristics of various displays (LCD, OLED etc.), Knowledge and experience in a wide spectrum of electrical and optical characterizations.

Knowledge of display and rendering technologies including light field, holograph, 3D display, depth, cloud point, ray-tracing etc.

Great communication skills, Fluent in English reading and writing.

Develop, improve, and optimize our OCR models.

Identify benchmark datasets relevant to different industries and use-cases and work towards production-quality performance on them.

Devise ways to extract information from images beyond just text: document structure and flow, font and styling information, logos and tables.

Fluent and creative with Deep Learning.

Experience with image processing (OpenCV).

Excellent with Python.

Meticulous at designing, scoping, and conducting data-driven experiments.

Enjoys challenging but rewarding algorithmic problems.