Meta AR/VR Job | Technical Program Manager
Job（岗位）: Technical Program Manager
Type（岗位类型）: Program Management
Citys（岗位城市）: Pittsburgh, PA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
Facebook Reality Labs Research is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. To give people the power to build community, to share what matters most to them, and to bring people closer together. To that end, our team is specifically focused on making interpersonal, social experience in virtual reality and augmented reality, perceptually indistinguishable from real life. Our goal? To enable the ability to interact with anyone, anytime, anywhere.
At FRL Research, you will join a world-class team exploring cutting edge machine learning, computer vision, hardware, software, and state-of-the-art Augmented and Virtual reality technology. Every day, you will work alongside the world's leading Research Scientists, Mechanical Engineers, Electrical Engineers and Software Engineers to create the technology that will make VR and AR pervasive and universal.
For this role, FRLR is looking for an exceptional Technical Program Manager to join our team. If your passion and experience lies in working with multidisciplinary teams and building the right processes and methodologies for them. If you’ve had experience with complex cutting edge technology. If you thrive helping your team coordinate and collaborate in the face of ambitious and ambiguous challenges, taking on work that has never been done before. We might have a spot for you.
Qualifications（岗位要求）
7+ years of experience in software development, technology, data, or games industry.
5+ years of program management experience.
Bachelor’s degree in Computer science, program management, or equivalent combination of education and experience.
Experience leading a team from concept to project completion.
Project management, leadership, dependency management and cross-group collaboration experience (both inside and outside of an organization).
Experience tracking budgets and create reliable quarterly estimates and accruals.
Communication/presentation skills through all levels of the organization, technical and non-technical.
Experience using basic UNIX commands.
Working knowledge of Python to generate JSON configs.
Description（岗位职责）
As a TPM on the Detection Services team, you will be responsible for the annotation pipeline, data to reliable ground truth to accelerate research.
Managing computer version and machine learning pipeline projects. Leveraging technical expertise to understand the nature of the research. Translating that into goals, roadmaps, and strategy in partnership with key team leads.
Partnering with research leads to set goals, direction, and strategy.
Setting and maintaining expectations. Ensuring the team has a unified clear vision, understood goals, and expectations of progress.
Keeping partners and stakeholders informed and involved. Being able to represent your program at a deep level throughout the org, to be able to build the appropriate communication channels both within and outside the team.
Being responsible for the rules of reality. Ensuring work is adequately resourced and scoped. Effectively escalating or directly resolving resourcing issues to accomplish the teams mission.
Keeping the team unblocked and effective. Ensuring the members of their team are able work at their highest potential and able to play to their strengths. That conflicts (both technical and interpersonal) have paths toward resolution to allow the team to move forward.
Iterative process improvements. Leverage the least amount of process to accomplish the goal. Ask, "Is there a better way?“. Evaluate retrospectives to add, adjust, and remove processes based on learnings.
Manage vendor engagements. Work with internal and external stakeholders to manage a number of operators to produce high-quality ground-truth annotations.
Additional Requirements（额外要求）
Experience with data annotation pipelines and processes for machine learning.
Strong understanding of machine learning and computer vision.
Experience working with a cross-disciplinary team of researchers, software engineers and hardware engineers.
Experience with SQL and business intelligence tools to monitor pipeline status.
