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Project Manager (Product Data Operations)

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Project Manager (Product Data Operations) Responsibilities
  • Manage data labeling and annotation programs end-to-end, working cross-functionally to improve existing data labeling and annotation projects, proactively surfacing insights and providing recommendations for product improvement, and actively engaging with colleagues and partners to enhance operational processes across the organization.
  • Coordinate and scope out multiple projects in a highly cross-functional environment.
  • Drive workflow/project success metrics and timeline.
  • Scope and define strategies for robust data collection at scale, contributing to data labeling and annotation efforts.
  • Work cross-functionally to build datasets that support Product and Engineering, while collecting and analyzing results.
  • Engage in strategic discussions to identify problems while measuring and improving the quality of workflows.
  • Identify opportunities to improve tooling and implement scalable solutions.
  • Help establish team goals and work with multiple stakeholders on strategies for executing, measuring progress, and reporting results.
  • Support the day-to-day, workflows, and metrics of a vendor team responsible for data labeling efforts.
Minimum Qualifications
  • Requires a Bachelor’s degree in Computer Science, Information Systems, Mathematics, Economics, or a related field and 2 years of experience in the Job offered or in a computer-related occupation. Foreign degree equivalent accepted.
  • Experience must include 24 months involving the following:
  • 1. Building datasets that support cross-functional teams
  • 2. Driving workflow and project success metrics and timelines
  • 3. Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows
  • 4. Identifying opportunities to improve tooling and implement scalable solutions and
  • 5. Managing and scoping out multiple projects in a highly cross-functional environment.
For those who live in or expect to work from California if hired for this position, please click here for additional information.

Recruiting Coordinator (Short-term Position)

Meta is seeking a highly organized, detail-oriented and high-energy Recruiting Coordinator. The role will support the Meta Recruiting team with the objective of efficiently and successfully organizing and coordinating high-volume interview activity. This will be a short-term in office position intended to last no longer than 12 months to provide support to Meta’s existing Recruiting team
Recruiting Coordinator (Short-term Position) Responsibilities
  • Coordinating onsite and video conference interviews for candidates with speed and efficiency.
  • Coordinate candidate logistics & the candidate expenses process.
  • Communicate professionally and maintain a high level of confidentiality at all times both internally and externally with our candidates, recruiters and interviewers.
  • Meeting and greeting candidates who are interviewing at Meta.
  • Understand candidate needs and deliver a smooth recruiting experience for all candidates.
  • Work closely with other coordinators on cross-functional teams.
  • Partner with recruiting leaders and recruiters to provide insight and feedback on interview scheduling.
  • Partner with Assessment Operations team members to support interviewer training initiatives.
  • Work with outsourcing partners to ensure scheduling processes are implemented and SOPs are followed properly.
Minimum Qualifications
  • Experience scheduling and supporting recruitment activity across remote offices.
  • Experience in prioritizing different functions and tasks while managing their work time.
  • Experience with ATS and tool change management.
  • Project management experience.
Preferred Qualifications
  • Knowledge and relationships within the leadership recruiting team.
  • 2+ years with recruiting scheduling experience.
For those who live in or expect to work from California if hired for this position, please click here for additional information.

Research Scientist Intern, Algorithms (PhD)

At Reality Labs, our goal is to invent the user interface technologies that will drive the next generation of augmented-reality experiences. Our aim is to unleash human potential by erasing the bottlenecks between intent and action. The key to this work is in the development of robust, adaptive algorithms and systems that can seamlessly power the decoding of wearable biometrics. As a Research Intern, you will focus on developing novel, robust, and sensor processing algorithms for wrist-wearables. Your work will involve novel techniques around self-supervised learning, robust decoding of biometric signals, confounder mitigations, and state-estimation/sensor-fusion techniques for stringing the entire system together. Our research lies at the intersection of signal processing, machine learning, and human-computer interaction. You will work with world-leading collaborators and mentors in the AR/VR, machine learning, neuroscience, and HCI fields. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.
Research Scientist Intern, Algorithms (PhD) Responsibilities
  • Plan and execute cutting-edge research and design of novel adaptive algorithms for a variety of different sensory models.
  • Implement signal processing, classification, fusion, and confounder mitigation algorithms and systems that are robust, efficient, easily tunable, and yield seamless interactions.
  • Troubleshoot, debug and upgrade existing software, contribute to code documentation and maintenance of the analysis pipeline.
  • Collaborate with the larger research team, present and share results with key stakeholders.
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a PhD in computer science, electrical or computer engineering, machine learning, state-estimation, robotics, or relevant technical fields.
  • 3+ years of experience with scientific programming languages such as Python or Matlab or similar.
  • Experience with experience with machine learning and related frameworks, such as sklearn or Pytorch.
  • Experience with online and offline signal processing of biological time series data and sensor-fusion techniques.
  • Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
Preferred Qualifications
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, UIST, CHI.
  • Familiarity with AR/VR technologies and literature.
  • Experience with state estimation and self-supervised learning.
  • Experience with biometric modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
  • Proven track record in the design of novel and fieldable algorithms that have been deployed in the real-world.
  • Experience working and communicating cross functionally in a team environment.
  • Intent to return to degree-program after the completion of the internship/co-op.
  • Availability for minimum 16 consecutive week internship.

Global Program Manager, Growth Partnerships, EMEA

Growth Partnerships is seeking an individual who is passionate about connecting our global community to help build and scale the Analytics products and services aimed at our mobile, fixed wireless, and broadband partners globally. We’re looking for a Global Program Manager to join our Partner Analytics Strategy (PAS) team and help us drive impactful and strategic partnerships with connectivity providers across the globe. This role will be the primary interface between our team of data science consultants and our broad affiliated Cross Functional Partner team (Partnerships, Engineering, Product, DS, DES, etc.). You will have experience in strategy consulting and product marketing or product management driving development of products in the technology, digital analytics, or connectivity space. PAS supports the CEO priorities of 120+ top tier telco partners across the globe via consulting engagements and B2B self-serve products. We measure ourselves directly on the value we generate for our partners at the C-suite level. In turn, PAS support is a critical part of Meta’s strategic programs with operators. A successful candidate will thrive in an ambiguous, cross-functional environment where they are able to understand different perspectives and provide discussion frameworks to enable trade-offs and decisions. They should excel in knowing when to lead or support a cross-functional team and bring out views from all disciplines to inform one strategic plan. While this role is not technical, it requires a keen interest in and aptitude for understanding the lifecycle of data science projects as well as analytics product development. Similarly, the right candidate will also be intellectually curious and build familiarity and fluency in the areas of connectivity, user growth, and strategic partnerships. This is a full time position based in London.
Global Program Manager, Growth Partnerships, EMEA Responsibilities
  • Build strategic relationships with global and cross-functional partners to drive improvements to program strategy, market team activities, and build consensus on priorities
  • Refine communication of value propositions and services delivered to internal and external stakeholders
  • Actively source new areas of impact for the team, working closely with regional analytics leads and centralized product teams
  • Actively identify, track and manage issues and risks for programs
  • Proactively manage expectations of all interested parties: define clear program roadmaps, provide frequent program updates, identify and communicate risks & adjustments to overall program & ensure commitments are delivered
  • Conceptualize, develop, manage, and prioritize global programs independently and with appropriate levels of urgency
  • Define success and quality metrics, and use them to execute in a cross-functional and complex environment
  • Drive strategy for programs, status calls, engagement & overall management of deliverables across multiple workstreams
Minimum Qualifications
  • BS or BA Degree
  • 10+ years experience in Program Management, Product Management, or Product Marketing
  • Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving)
  • Demonstrated experience building relationships with peers and senior stakeholders and collaborating with cross-functional teams across multiple geographies and time zones
  • Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
  • Exceptional communication and presentation skills, and the ability to clarify and summarize complex issues
  • Business acumen: listening, negotiation, influencing
Preferred Qualifications
  • MS or MBA in a quantitative field preferred
  • Experience distilling/prioritizing needs of diverse stakeholders to inform an action plan
  • Experience working in policy, policy research, etc.
  • Interest and ability to drive new programs from scratch (understand the problem, create solutions, justify a business case, influence product roadmaps, define a playbook for scale)
  • Understanding of Account Management and research/analytics best practices

Updated: November 23, 2024 — 12:44 pm

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