Meta Platforms, Inc. began as a Harvard-exclusive social network in 2004, founded by Mark Zuckerberg and his college roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes. The platform’s initial success led to rapid expansion to other universities and eventually to the public.
Software Engineer, Machine Learning
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
- Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
- Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
- Leading a team from a technical perspective to develop ML best practices and influence engineering culture
- Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Suggest, collect and synthesize requirements and create effective feature roadmap
- Code deliverables in tandem with the engineering team
Minimum Qualifications
- 8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
- 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
- Experience with scripting languages such as Python, Javascript or Hack
- Experience leading major initiatives successfully
- Experience building and shipping high quality work and achieving high reliability
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
- Masters degree or PhD in Computer Science or a related technical field
- Exposure to architectural patterns of large scale software applications
- Experience with scripting languages such as Pytorch and TF
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Insights Analyst – HR Technology
Imagine building the future of work at Meta, where data-driven insights inform decisions and technology empowers employees to thrive. As an HR Technology Data and Insights professional on our People Operations team, you’ll play a critical role in shaping the employee experience by harnessing the power of data to drive business outcomes and improve HR operations. You’ll lead complex data analysis projects, develop KPI frameworks, and create user-friendly dashboards to measure performance effectively. With your expertise in SQL and Tableau, you’ll help build a scalable and efficient HR ecosystem that supports digital transformation and long-term HR architecture. The ideal candidate will have strong leadership, analytical, storytelling skills and will thrive managing concurrent projects while working with a globally distributed team to drive outcomes.
Insights Analyst – HR Technology Responsibilities
- Apply expertise in qualitative and quantitative analysis, data visualization, and presentation to inform, influence, and support business priorities
- Act as an internal consultant by understanding business needs, scoping data requests, synthesizing insights, and recommending solutions to key business partners in collaboration with other members of analytics teams
- Leverage technical expertise to solve complex problems, inform decision-making, and drive business outcomes for our HR technology team
- Utilize tools and programming languages like Tableau, Hive, R, Python, Workday, and other internal tools to work efficiently at scale
- Maintain code-base (SQL) used to drive self-service tools, and recommend opportunities for improvement
- Create and iterate on solutions and dashboards to empower operational and exploratory analysis
- Enforce best practices and alignment with research, forecasting, analytics, and engineering teams
- Effectively communicate with external clients and internal teams to deliver solutions in a timely fashion
- Document requirements with stakeholders, and partner with People Insights and People Analytics on broader changes to core dashboards and solutions
- Partner with Business, Product Manager, Digital Ecosystem, Solution Design, Content, Data Science, Product, Enterprise Engineering, Data Engineering, and Software Engineering teams to solve problems at scale
Minimum Qualifications
- BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, math, engineering, networking, or statistics), or equivalent work experience
- 4+ years of experience with SQL or similar language aimed at querying relational databases
- 4+ years of experience working with data visualization tools
- 5+ years experience doing quantitative analysis
- Proven track record of manipulating large data sets and interpreting results for business decisions
- Experience communicating complex analytical findings to non-technical stakeholders
- 2+ years of experience initiating and driving projects to completion with minimal guidance
- Experience communicating with professionalism and proven customer-service skills
- Proven experience collaborating with cross-functional teams and building relationships with stakeholders
- Experience working in a fast-paced and demanding environment
Preferred Qualifications
- Experience with R, Python, or a similar scripting language a plus
- Degree in a quantitative field, such as Applied Statistics, Mathematics, Finance, Statistics, Economics, Operations Research, or Information Systems
- Familiarity with HR/organizational domain & people data preferred (e.g. headcount, turnover, recruiting metrics, and other people analytics)
- Project management skills to lead multiple projects simultaneously
Tableau experience creating data visualization
Product Manager
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers who value moving quickly.
Product Manager Responsibilities
- Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
- Understand Meta’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
- Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
- Incorporate data, research, and market analysis to inform product strategies and roadmaps.
- Plan, initiate, and manage information technology projects for web-based products and platforms.
- Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
- Drive product development with teams of world-class engineers and designers, while maintaining team health.
- Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
- Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
- Define and analyze metrics that inform the success of products. Identify and track key performance metrics.
Minimum Qualifications
- 8+ years product management or related industry experience
- Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
- Experience in product management or product design
- Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
- Experience delivering technical presentations
- Experience in analyzing complex, large-scale data sets and making decisions based on data
- Experience in gathering requirements across diverse areas and users, and converting and developing them into a product solution
- Experience in technical experience with analytical tools, methodologies, and design
- Displaying leadership, organizational and execution skills
- Proven communication skills
Preferred Qualifications
- Experience defining vision and strategy for a product.
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
- Experience recruiting and leading a cross-functional team of world-class individuals.
Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
Construction Manager
Meta is seeking an experienced Construction Manager to join our Data Center Engineering & Construction Team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Building and operating data centers the “right” way is synonymous with ensuring high uptime, capacity availability and capital conservation. The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure.
Construction Manager Responsibilities
- Manage the construction, commissioning, and turnover of a Data Center within a campus program
- Manage the budget associated with the project
- Manage the cost change process and negotiate best pricing
- Manage the schedule and associated risks to ensure reliable and predictable turnover dates
- Manage warranty and tenant improvement work in the live environment when/as necessary
- Communicate upward regarding the status and risks of the project
- Negotiate vendor and contractor contracts and purchase orders as needed
- Mitigate risk for the project through pre-planning, innovative planning, and partnership
- Develop cost savings solutions and identify project savings/underruns early
- Partner with the General Contractor and other Vendors to build a culture of collaboration
- Partner with Internal Cross Functional Partners to build a culture of collaboration
- Coordinate needs and asks with the Procurement/Sourcing group(s) to support the needs of the Project
- Support the pre-construction efforts for upcoming projects
- Promote prefabrication strategies
- Support the development of Capital Project Budgets and Constructions ROMs
- Support the Campus Construction Manager with the campus-wide book of work including contractor, designer, and vendor management
- Support the on-site inspection process to ensure a zero punch-list and an expeditious turnover to FacOps
- Support the Regional Construction Operations Manager in the management of the regional book of work including contractor, designer, and vendor management
- Support the local DC Ops team and other cross-functional departments as needed
- Promote and model an attitude of continuous improvement, partnership, and teamwork in behaviors and communications
- Support and lead an industry leading safety culture and program
- Promote and model an attitude of openness to giving, seeking, and receiving 360-degree feedback
- 10% travel to headquarters
- Respond on an as-needed basis to emergencies
Minimum Qualifications
- 10+ years of work experience in construction management
- Multi-Project experience in large scale construction management, mission critical, infrastructure, and or data center construction
- General knowledge of civil, structural, electrical, and mechanical systems
- Knowledge of capital budget management and contract administration
- Negotiation skills and experience providing solutions to problems
Preferred Qualifications
- Bachelor’s degree strongly preferred, may consider equivalent experience
- Knowledge of industry standards, building codes and safety standards including fire protection regulations
- LEAN Construction knowledge and application of those tools
- Familiar with P6
- Procore and eBuilder software experience
- BIM 360 and Bluebeam software experience
- MS Visio and SharePoint experience
- Building Environment Accreditations (i.e. LEED, SITES, TRUE, WELL)
Proficient working knowledge of MS Word, Excel, and PowerPoint