About the Role

We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives.

In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.

This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions.

What You’ll Work On

Technical Leadership & Architecture

• Lead the design of next-generation recommendation system architectures at scale.
• Drive best practices for model lifecycle management, experimentation, and system reliability.
• Partner with product, infra, and data teams to align technical strategy with business goals.

Advanced Recommendation & AI Systems

• Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization.
• Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling.
• Evaluate emerging AI technologies and guide their adoption into production systems.

AI-Native Engineering

• Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis.
• Help establish standards and shared tooling for AI-driven engineering.

0 → 1 Innovation & Scaling

• Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling.
• Ensure successful prototypes evolve into maintainable, scalable platforms.

What We’re Looking For

Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration.

Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 → 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows.

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefits programs
• Team activity budget

About the role:

We’re hiring a Machine Learning Infrastructure Engineer to help build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products. You’ll join a small, high-ownership team that ships platform improvements end-to-end—partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.

You’ll work across the ML lifecycle: making training faster and more reliable, improving model serving performance, and strengthening our feature/embedding platform so models stay fresh and consistent between offline and online use. We’re looking for someone who can take real ownership, finish what’s started, and raise the bar on stability and developer experience.

Why this role

• Scope & impact: small team, big surface area—your work lands directly in production.
• Ownership: from design to rollout to post-launch learnings; real autonomy with support.
• Growth: visibility across the stack and a clear path to lead projects and mentor others.
• Pragmatic culture: we optimize for outcomes over buzzwords, and we value clear thinking, and follow-through.

If you like building reliable systems that make ML teams move faster—and you enjoy turning complexity into simple, durable solutions—we’d love to talk.

Responsibilities

• Design and develop machine learning infrastructure.
• Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving.
• Proactively address ML infrastructure issues that may impact production.
• Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.

Requirements

• Education: Bachelor's degree in a related field with 5+ years of relevant experience, or MS/PhD in a related field with 3+ years of relevant experience
• Experience delivering production systems that support ML use cases (training or serving).
• Proven track record in building and maintaining large-scale distributed backend systems
• Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
• Strong problem solving skills with good teamwork and communication skills

Preferred qualifications

• Experience leading cross-team projects from design through stable rollout.
• Experience iterating on ML models and shipping them to production.

Benefits

Location: Mountain View, California, United States

About the Role

As a core member of the App Matrix strategic team, you will lead the 0-to-1 development of next-generation mobile products. You will not only ensure the extreme performance and scalability of NewsBreak’s flagship app but also architect new product lines from scratch. We are looking for a builder who is obsessed with performance and can translate technical excellence into significant business impact.

Responsibilities

• Lead Architectural Design: Drive the 0-to-1 iOS architecture for new products, balancing rapid iteration with long-term system maintainability.
• Performance Excellence: Tackle deep technical bottlenecks such as memory management, startup time, and UI fluidity to elevate the user experience for tens of millions of DAU.
• Drive Innovation: Provide innovative technical solutions for the App Matrix from an engineering perspective to enable rapid validation and growth of business goals.
• Engineering Standards: Mentor junior engineers and optimize engineering standards, including Code Reviews, automated testing, and CI/CD pipelines

Requirements

• Minimum Qualifications:
1. Bachelor’s degree or above; 3+ years of professional experience in iOS platform development.
2. Proficiency in Objective-C / Swift.
3. Deep understanding of network communication mechanisms and data transfer protocols; proven experience in weak network optimization.
4. Hands-on experience in encapsulating client-side common underlying libraries and SDKs.
5. Excellent communication skills and team spirit; obsessed with technology and user experience; capable of working under high pressure.
• Preferred Qualifications:
1. Strong product and business sense.
2. Experience with the following: JavaScript, RxSwift, IGListKit, fastlane, or Protocol Buffers.

Benefits

We offer competitive benefits package:

• Health, dental, and vision care for you and your family (0 cost for individual)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefits programs
• Team activity budget

About the Role

We are seeking an AI Development Engineer to join our AI and machine learning team. This role focuses on multimodal machine learning modeling (audio, video, image, text) and the development of AIGC systems and AI agents.

You will work on translating state-of-the-art research into scalable, real-world AI systems, including virtual humans, text-to-image, and text-to-video generation. You will collaborate closely with research, engineering, and product teams to advance next-generation multimodal and generative AI technologies.

Responsibilities

• Design and develop multimodal ML models for understanding and generation across audio, video, image, and text
• Build AIGC systems, including virtual humans, text-to-image, and text-to-video models
• Develop AI agent systems, covering reasoning, planning, tool usage, and multi-agent collaboration
• Convert cutting-edge research into scalable, production-ready AI systems

Requirements

• 2+ years of relevant industry experience or a PhD in Computer Science, AI, Machine Learning, or a related field
• At least two publications in top-tier AI/ML conferences or journals, such as
  NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, SIGGRAPH, or TPAMI
• Research experience in multimodal AI or AIGC, including generative models, virtual humans, or text-to-image / text-to-video
• Strong ML/DL foundation with hands-on experience in one or more of:
• Large Language Models (LLMs)
• Multimodal models
• Diffusion models
• Computer vision / video understanding and generation
• Audio and speech processing
• Proficiency in Python with solid engineering and problem-solving skills

Preferred Qualifications

• Experience or knowledge in frontend or client-side development, with an understanding of how AI systems integrate into user-facing products, including:
• Web frontend development:
• JavaScript / TypeScript
• Modern frameworks such as React or Vue
• API integration and data visualization
• iOS development:
• Swift and/or Objective-C
• Familiarity with iOS app architecture and performance considerations
• Android development:
• Kotlin and/or Java
• Understanding of Android app architecture and system constraints

Experience integrating AIGC or AI agent systems into real-world products is a strong plus

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget