---
title: 'Senior Machine Learning Engineer at Cresta'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-cresta-canada-7c2gyvmn4ym6'
type: 'job'
last_seen: '2026-10-13'
---

# Senior Machine Learning Engineer at Cresta

- **Company:** Cresta
- **Location:** Canada
- **Work type:** remote
- **Posted:** 2024-10-23
- **Last confirmed live:** 2026-10-13
- **Apply:** https://job-boards.greenhouse.io/cresta/jobs/4249943008

## Job description

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, [Ping Wu](https://www.linkedin.com/in/pingwu/), founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the role:

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.

Current focus areas include:

- Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.
- Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems.
- Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale.

Responsibilities:

- Lead the design and development of Cresta’s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.
- Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.
- Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.
- Improve reasoning, planning, and tool-use capabilities in real-world AI applications.
- Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.
- Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.
- Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.
- Optimize AI systems for scalability, latency, security, and cost efficiency in production environments.
- Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta’s platform.
- Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s AI systems.

Qualifications We Value:

- Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred.
- 5–8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.
- Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
- Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.
- Experience building and evaluating complex agentic or multi-step LLM workflows.
- Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.
- Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.
- Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Perks & Benefits:

- We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
- Paid parental leave to support you and your family
- Monthly Health & Wellness allowance
- Work from home office stipend to help you succeed in a remote environment
- Lunch reimbursement for in-office employees
- PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

This posting will be used to fill a newly-created role. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

## About Cresta

## Company Overview
- **One-liner**: Cresta is the generative AI platform for customer experience, unifying human and AI agents to drive measurable business outcomes for the world's largest enterprises.
- **Entity Type**: Private (Series D, $125M raised in 2024)
- **Headquarters**: Sunnyvale, California, USA (with additional offices in San Francisco, New York, Toronto, London, Berlin, Bucharest, Cluj-Napoca, Tokyo, Taipei, Melbourne)
- **Founded**: 2017
- **Founders**: Zayd Enam, Sebastian Thrun, Tim Shi

## Core Business
- **Primary industry**: Generative AI for Customer Experience (CX) / Contact Center AI
- **Target customers**: Enterprise (Fortune 500), B2B; verticals include customer service, sales, collections
- **Mission or purpose statement**: "Turn every conversation into a competitive advantage" by combining the best of human intelligence and AI.

## Products & Services
- **Cresta AI Agent**: Autonomous voice and digital agent that resolves customer conversations end-to-end (SaaS/AI agent).
- **Cresta Agent Assist**: Real-time AI guidance, suggestions, and knowledge for human agents during live conversations (SaaS).
- **Cresta Conversation Intelligence**: AI that analyzes 100% of conversations to surface insights, behaviors, and revenue opportunities (SaaS).
- **Cresta Knowledge Agent**: Proactive, real-time answers from enterprise knowledge bases delivered to agents (SaaS).
- **Cresta Quality Management**: Automated QA across 100% of contact center conversations (SaaS).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding raised $270M+ (as of 2026)
- **Notable Investors**: Sequoia, Greylock, a16z, Tiger Global, World Innovation Lab (WiL)
- **Growth Signals**: 
  - 600+ employees across 10+ global hubs
  - Expanded into APAC and EMEA markets in 2025
  - Partnerships with TELUS Digital (June 2026) and New York Mets (June 2026)
  - Launched Conductor (AI agent development tool) in June 2026
  - Reported 20% higher revenue and 30pt NPS improvement for customers

## Competitive Advantages
- **Real-time transformer-based models** deployed at scale since 2018 (Intuit was first customer)
- **Patented conversational AI technology** (multiple patents secured)
- **Unified platform** that combines AI agents, human agent assist, and conversation intelligence
- **Human-centric AI approach** differentiating from pure automation players
- **Fortune 500 trust** and deep enterprise integrations

## Strategic Focus
- **Accelerate adoption of human-centric agentic AI** across global enterprises
- **Expand globally** with new hubs in APAC and EMEA
- **Continue product innovation** (e.g., Conductor for AI agent development, voice AI enhancements)
- **Deepen partnerships** with system integrators and telcos

## Why Work Here
- **Mission-driven culture**: "Mission is the boss" – decisions align with company goals, not hierarchy
- **Flexible work**: Hybrid model with many fully remote roles; offices in major cities worldwide
- **Global team**: 10+ hubs across North America, Europe, Asia, and Australia
- **Perks & benefits**: Multiple medical/dental/vision plans, inclusive parental leave, generous time-off policy, workspace support, learning opportunities (hackathons, guest speakers)
- **Growth mindset**: Autonomy, high-impact roles, and continuous learning encouraged
- **Engineering culture**: Strong emphasis on AI/ML, real-time systems, and building at scale

## Sources
1. [Cresta Careers Page](https://cresta.com/careers)
2. [Cresta About Page](https://cresta.com/about-us)
3. [Cresta Official Website](https://cresta.com/)
4. [Cresta Greenhouse Jobs](http://job-boards.greenhouse.io/cresta)

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