--- title: 'Lead Machine Learning Engineer at ASAPP' canonical: 'https://feeny.ai/job/lead-machine-learning-engineer-asapp-mountain-view-tw8xfqfhy1by' type: 'job' last_seen: '2026-09-13' --- # Lead Machine Learning Engineer at ASAPP - **Company:** ASAPP - **Location:** Mountain View, CA - **Compensation:** $170k–$190k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/asapp-2/3ad3aa9f-07d7-4af3-9997-fe3d1ae2f5c8 ## Job description At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. ASAPP’s AI Engineering team is seeking an enterprising, talented and curious machine learning engineer. The AI Engineering team is responsible for working closely with the research and modeling teams to create state-of-the-art NLP models for specific tasks, and deploy them in a production setting designed to serve our customers at scale. We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems. This role will play a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems. We're looking for a Lead Machine Learning Engineer to own and grow the evaluation platform that measures quality, safety, and performance across ASAPP's agentic AI systems- the infrastructure that tells us, with confidence, whether a model or agent change is actually an improvement before it reaches customers. This a hybrid role with 10-12 days of in-office presence per month to balance flexibility with collaboration. ## What you'll do - Help develop the technical roadmap and architecture for the evaluation platform, from offline benchmarking to online/production monitoring of agentic and LLM-based systems. - Design eval methodologies appropriate to different stages of the pipeline: golden/regression test sets, human-in-the-loop review workflows, LLM-as-judge approaches, and automated metrics for task success, safety, and hallucinations. - Build the data infrastructure evaluation depends on: annotation and labeling pipelines, dataset versioning, data quality checks, and tooling that lets researchers and product teams run and interpret experiments without needing platform team help. - Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions - Represent the eval platform to stakeholders outside the immediate team- set expectations on what "good" looks like for a model/agent release, and report on platform health and coverage. - Stay current with advancements in ML, NLP, voice, and LLM systems, and contribute actively to technical discussions across teams. - Mentor and support other engineers through design reviews, feedback, and knowledge sharing. ## What you'll need - Deep, hands-on experience building and operating evaluation systems for modern ML/LLM/agentic systems- not just consuming existing eval tools. - Demonstrated experience leading the technical direction of a project or small team: setting architecture, driving design reviews, and being accountable for a system's long-term health (not just shipping features). - Strong architectural skills, with proven experience designing complex, data-intensive software systems and production experience with Python, AWS, Kubernetes, and/or Docker. - Experience designing data pipelines for ML evaluation- labeling/annotation workflows, dataset versioning and quality control, and reproducible benchmarking. - A Bachelor’s Degree in CS or other related fields - Demonstrated technical mentorship of junior and mid-level engineers, driving adoption of best practices and architectural alignment for scalability and extensibility. - Desire to learn, teach, and collaborate closely with cross-functional peers. ## What we'd like to see - Experience building and evaluating agentic systems at scale. - Experience with voice/audio quality evaluations. - Production experience with LLM-centric services (e.g., inference, orchestration, evaluation, monitoring) - Familiarity with large-scale ML experimentation, benchmarking, or simulation frameworks. - Experience with conversational/customer-support AI domains (e.g., containment rate, conversation quality, goal completion). - Knowledge of techniques for optimizing model architectures for faster inference. - Experience with AWS, CI/CD, Kafka, Athena Benefits include: Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Hybrid ## About ASAPP ## Company Overview - **One-liner**: ASAPP builds AI-native customer experience platforms that automate and augment human agents in large enterprise contact centers. - **Entity Type**: Private (venture-backed; total funding $380M across 6 rounds) - **Headquarters**: New York, New York, United States - **Founded**: 2015 (company timeline); LinkedIn lists 2014 - **Founders**: Gustavo (surname not publicly disclosed in available sources) ## Core Business - **Primary industries**: Customer service technology, enterprise AI, contact center software - **Target customers**: Large enterprises and contact centers (B2B) - **Mission / purpose**: To solve the toughest challenges in customer service with AI, turning the contact center into the foundation of the agentic enterprise. ## Products & Services - **GenerativeAgent®**: A fully capable AI customer service agent that listens, understands, and acts like a top‑tier human agent (launched May 2024). - **ASAPP CXP (Customer Experience Platform)**: Unites CX systems, data, and workflows in one place to serve customers intelligently (launched November 2025). - **AI-native asynchronous messaging platform**: Original product for digital-first customer conversations. - **Voice AI with speech recognition and automated summaries**: Reduces after‑call work. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed. - **Key Metric**: Annual revenue estimated at $82.3M (from LinkedIn company profile); total funding $380M. - **Notable Investors / Partners**: Not named in available sources; 6 funding rounds completed. - **Growth Signals**: Headcount of 217 (-0.2% YoY) per LinkedIn; 389 total employees per Built In. Launched two major new products in 2024‑2025 (GenerativeAgent and CXP). Offices in 4 countries and remote presence in Argentina/Uruguay. ## Competitive Advantages - Long‑running focus on AI for customer service (founded 2014/2015) with early breakthroughs in generative language models for agent assistance. - Deep R&D team that publishes foundational AI research and applies it to complex enterprise interactions. - Only company offering an “AI‑native” platform that unifies data, workflows, and AI agents with human‑in‑the‑loop governance. ## Strategic Focus - Expanding from AI agent assistance to full AI‑powered customer service agents (GenerativeAgent). - Platform consolidation via ASAPP CXP to replace fragmented legacy contact center systems. - Serving the world’s largest and most demanding contact centers. ## Why Work Here - **Culture values**: Customer Driven, Grit, Excellence, Teamwork, Speed, Ownership. - **Work alongside** world‑class researchers, engineers, and operators pushing the boundaries of applied AI. - **Work environment**: Hybrid/remote options; offices in New York, Mountain View, Buenos Aires, Chennai, Bangalore; remote positions in Argentina, Uruguay, and US. - **Perks**: - Full health coverage (medical, vision, dental) for employee and family, plus monthly gym reimbursement. - Daily catered meals or food stipends in offices. - 401(k) with company matching (US employees). - Comprehensive maternity, paternity, and family leave. - Generous vacation policy. - Learning & development programs. ## Sources 1. [ASAPP Company Page](https://www.asapp.com/company) 2. [ASAPP Careers Page](https://www.asapp.com/careers) 3. [ASAPP Open Positions (Lever)](https://jobs.lever.co/asapp-2) 4. [LinkedIn Company Profile](https://www.linkedin.com/company/asappco) 5. 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