---
title: 'AI/ML Engineer at Conviva'
canonical: 'https://feeny.ai/job/ai-ml-engineer-conviva-foster-city-jaz6mssad8ze'
type: 'job'
last_seen: '2026-10-28'
---

# AI/ML Engineer at Conviva

- **Company:** Conviva
- **Location:** Foster City, CA
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-28
- **Apply:** https://job-boards.greenhouse.io/conviva/jobs/8036615003

## Job description

Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.

We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration.

We are looking for someone who goes beyond implementing existing approaches—someone who can understand a problem deeply, evaluate alternative solutions, make informed technical decisions, and systematically investigate why a model succeeds or fails.

You will collaborate closely with engineering and product teams to explore new ML approaches, develop effective models, and build the tools and infrastructure needed to support scalable experimentation and deployment. We welcome candidates from both academic research and industry backgrounds, including recent PhD graduates with strong hands-on research experience and engineers who have demonstrated exceptional model development capabilities in industry.

What Success Will Look Like:

- Design, develop, train, and evaluate machine learning models to solve complex real-world problems.
- Own the end-to-end ML development lifecycle, including dataset construction, model design, training, experimentation, evaluation, and continuous improvement.
- Explore and apply modern ML techniques, including deep learning, reinforcement learning, and LLM training or fine-tuning, as appropriate to the problem.
- Design rigorous experiments, define meaningful evaluation metrics, establish baselines, and analyze model performance to guide technical decisions.
- Translate research ideas into practical solutions through close collaboration with engineering and product teams.
- Contribute to ML tooling, data pipelines, and infrastructure that support efficient experimentation and scalable model development.
- Take ownership of technical challenges, proactively investigate new approaches, and continuously improve model quality and reliability.
- Collaborate effectively in a small, highly technical team, sharing knowledge and contributing to engineering best practices.

## Who You Are & What You've Done

- PhD preferred in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field. Recent PhD graduates with strong research experience are encouraged to apply.
- Strong foundation in machine learning, deep learning, probability, statistics, algorithms, and data structures.
- Hands-on experience developing and training ML models through academic research or industry projects.
- Experience with ML frameworks such as PyTorch or TensorFlow.
- Solid understanding of the ML development lifecycle, including data preparation, model training, experimental design, evaluation methodology, and error analysis.
- Strong programming skills in Python, C++, or another relevant programming language.
- Ability to independently investigate complex technical problems, design experiments, and communicate findings clearly.
- Strong problem-solving skills, intellectual curiosity, and a willingness to explore new techniques.
- Good English communication skills.

## Nice to Have

- Research publications at leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or other relevant venues.
- Experience with reinforcement learning, deep learning, LLM fine-tuning, pre-training, or post-training techniques.
- Experience with large-scale model training, distributed training, or ML systems optimization.
- Experience deploying ML models into production or developing ML infrastructure, including model serving, monitoring, and MLOps.
- Familiarity with large-scale data processing frameworks such as Spark or Flink.

The expected salary range for this full-time position is $180,000–$250,000 + equity + benefits. Actual level and compensation are determined by qualifications, professional background, and relevant experience.

Learn more at [conviva.ai](http://conviva.ai) and follow the company on [LinkedIn](https://linkedin.com/company/conviva) and [YouTube](https://www.youtube.com/@conviva-ai).

## About Conviva

## Company Overview
- **One-liner**: Conviva is a consumer-perspective analytics platform for the agentic era, using full-census client-side telemetry to provide real-time insights into digital experiences across apps, websites, and AI agents.
- **Entity Type**: Private (Privately Held) — $110M total funding across 7 rounds
- **Headquarters**: Foster City, California, United States
- **Founded**: 2006
- **Founders**: Dr. Hui Zhang, Dr. Ion Stoica, Aditya Ganjam, Jibin Zhan

## Core Business
- **Primary industry**: Digital Experience Monitoring (DEM), analytics, and software development
- **Target customers**: B2B — streaming platforms, media companies, and any organization running consumer-facing digital products (apps, websites, AI agents)
- **Mission**: "Reimagining consumer-perspective analytics" — turning every digital interaction into outcome-based intelligence that reveals how experiences truly perform and drive results

## Products & Services
- **Conviva Platform (Consumer-Perspective Analytics)**: A SaaS analytics platform that ingests full-census client-side telemetry (sensors on 99% of devices) and uses a patented stateful analytics engine to continuously analyze every session and conversation. It exposes behavioral patterns, connects them to business outcomes, and surfaces opportunities for improvement in real time. Supports apps, websites, and AI agents.
- **Digital Product Insights**: A new offering built for the agentic era, providing experience analytics for apps, websites, and AI agents — measuring outcomes, friction, and risk once AI is deployed in production.
- **Time-State Data Platform**: Conviva’s underlying data platform that enables explainable, real-time analysis of complex systems (originally built for video QoE, now extended to agentic AI).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of **$110M** (as of latest round)
- **Notable Investors/Partners**: Foundation Capital, Kalaari Capital, Notable Capital; also backed by multiple venture rounds and corporate investors. Partners include major streaming platforms (Fox, Peacock).
- **Growth Signals**:
  - 267 employees (+4.8% YoY) operating across 12 countries including India, China, UK, Spain, Brazil
  - Named a **Leader in Digital Analytics by G2 Winter 2026**
  - Recognized as a **Visionary in the 2025 Gartner® Magic Quadrant™ for Digital Experience Monitoring**
  - Processes **5 trillion+ events/day** with **12 billion+ metric computations/minute**
  - 7 billion+ sensors deployed on devices

## Competitive Advantages
- **Full-census, client-side telemetry** (not sampling) — every interaction is captured, providing a complete view of consumer experience
- **Patented stateful analytics engine** that connects behavioral patterns to outcomes in real time
- **Unmatched scale**: 99% sensor coverage on devices, handling trillions of events daily
- **Agentic AI readiness**: Extending its analytics to measure the behavior, efficiency, and failure modes of AI agents in production — a frontier few competitors address
- **Industry-first achievement**: Only intelligence layer that links consumer engagement patterns to business outcomes at any scale

## Strategic Focus
- **Expanding from video experience analytics into agent experience analytics** — measuring how effectively AI agents reach outcomes, how much friction they introduce, and where breakdowns occur across real customer interactions
- **Reducing data warehouse costs** by providing actionable intelligence that lowers the need for massive raw data storage
- **Improving MTTD (Mean Time to Detection)** and overall customer satisfaction for digital products

## Why Work Here
- **Culture highlights**: Values include "growth mindset," "ownership & urgency," "curiosity & desire to learn," "positive energy & intent," "eagerness to understand & solve customer problems," and "instinct to act & help." Emphasis on collaboration, accountability, and innovation.
- **Remote/hybrid/office policy**: Offices in **Silicon Valley (Foster City, CA)**, **Bengaluru, India**, and **Beijing, China**. The Bengaluru office features a "work-from-anywhere atmosphere" with active communal spaces and quiet zones; the Foster City HQ is an open workspace with sweeping views. Not explicitly remote-first, but flexible work environment is described.
- **Notable perks**:
  - Daily catered lunches, snacks, and beverages
  - Gym & shower facilities, bike storage, outdoor courtyard
  - EV charging stations
  - Shuttle service to Hillsdale Caltrain Station (Foster City)
  - Health insurance, wellness programs, retirement plans (varies by region)
  - Career coaching, internal leadership development, funding for personal/professional development
  - Corporate social responsibility: volunteer time off, donation matching
  - Inclusivity & belonging initiatives, cultural celebrations
- **Engineering culture**: Innovation-driven, working on big data streaming, real-time analytics, and AI agent measurement. Teams are technical (146 people in technical roles), with alumni going to Google, Amazon, Apple, Roku, etc. Talent sourced from top tech companies (Amazon, Google, New Relic, Akamai).

## Sources
1. [conviva.ai](https://www.conviva.ai/)
2. [conviva.ai/careers](https://www.conviva.ai/careers/)
3. [conviva.ai/conviva-leadership](https://www.conviva.ai/conviva-leadership/)
4. [linkedin.com/company/conviva](https://www.linkedin.com/company/conviva)
5. [conviva.ai/job-listings](https://www.conviva.ai/job-listings/)

## Other roles at Conviva

- [Account Executive](https://feeny.ai/job/account-executive-conviva-foster-city-4160acxab7t0) — Foster City, CA
- [Partner Manager](https://feeny.ai/job/partner-manager-conviva-foster-city-dw6cfy77581t) — Foster City, CA
- [Senior Software Engineer — Distributed Systems](https://feeny.ai/job/senior-software-engineer-distributed-systems-conviva-bengaluru-92js1zdsbh9k) — Bengaluru, India
- [Staff Security Operations Engineer](https://feeny.ai/job/staff-security-operations-engineer-conviva-bengaluru-bczygpzm7qhy) — Bengaluru, India
- [Staff DevOps Engineer](https://feeny.ai/job/staff-devops-engineer-conviva-bengaluru-4nv1ebj59pr7) — Bengaluru, India
- [Technical Recruiter (Contract)](https://feeny.ai/job/technical-recruiter-contract-conviva-bengaluru-qp279dqxn0dc) — Bengaluru, India
- [Accountant, Payroll and Stock Admin](https://feeny.ai/job/accountant-payroll-and-stock-admin-conviva-foster-city-membvfhc43ca) — Foster City, CA
- [IT Specialist](https://feeny.ai/job/it-specialist-conviva-foster-city-40e03z2wygx1) — Foster City, CA
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- [Product Support Manager](https://feeny.ai/job/product-support-manager-conviva-bengaluru-azfdn77g0c4z) — Bengaluru, India