--- title: 'Senior Machine Learning Engineer (Remote) at Zencastr' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-remote-zencastr-new-york-a9b25cqxh19r' type: 'job' last_seen: '2026-09-08' --- # Senior Machine Learning Engineer (Remote) at Zencastr - **Company:** Zencastr - **Location:** New York, NY - **Employment:** full-time - **Work type:** remote - **Posted:** 2025-08-07 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e ## Job description ## The Role We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday. We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr. You’ll join a team of hardworking engineers that are passionate about understanding what drives users’ long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction. What You'll Do.. - Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world - Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr’s various ML services. - Drive forward audio and text capabilities within the ML team - Work with some of the brightest minds in signal processing If This Describes You.. - A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field - 5 + years experience in Python - 3+ years experience in machine learning research, with a focus on speech - 3+ years experience training or deploying neural networks - Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn - Experience with building and operating production-ready ML systems - Ability to lead design and implementation of major software components, systems, and features - You enjoy quickly building model prototypes - Experience with cloud technologies (Google Cloud, AWS, Modal) - You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process. Bonus points if you have: - Publications in peer-reviewed journals from a related field - Experience with modern speech processing frameworks - Good dev ops experience - Advanced DSP experience - MongoDB or SQL experience - Experience with unit, integration, and load testing - Experience building APIs - Experience with Docker containers, Implementing Docker Containers, Container Clustering - Experience with container orchestration technology such as Kubernetes a big plus How to apply: Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e We are flexible! For the right candidate we ask: What do you need to do your best work? ## About Zencastr ## Company Overview - **One-liner**: Zencastr provides an all-in-one audio and video creation platform for podcasters, video creators, and interviewers, featuring high-fidelity recording, AI-powered editing, and distribution tools. - **Entity Type**: Private (funding stage: Seed/Convertible Note) - **Headquarters**: San Francisco, California, United States - **Founded**: 2014 - **Founders**: Adrian Lopez (Co-Founder and CEO) ## Core Business - **Primary industry**: Media Production / Podcasting Technology - **Target customers**: B2B and B2C – podcasters, video creators, interviewers, marketers (SMB to professional) - **Mission or purpose statement**: “Make it simple for anyone to create high-quality audio and video content” (derived from site messaging) ## Products & Services - **Zencastr Recording**: Multi-track 4k video and 48kHz WAV audio recording on desktop and mobile, with double-ended tracks for remote interviews. - **ZenAI Clipping**: AI-powered tool that transforms long-form videos into ready-to-post viral clips in a single click. - **ZenAI Editing**: Edit audio or video like a text document using AI (remove silence, filler words, etc.). - **Zencastr Hosting**: Next‑generation audio and video hosting with deep analytics. - **Monetization Tools**: Options for podcasters to earn revenue through their shows. - **Distribution**: Tools to publish content to all major platforms. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of **$4.6M** (seed round led by Kickstart, 2021) – conflicting reports indicate up to **$5.16M** including a convertible note [cbinsights.com](https://www.cbinsights.com/company/zencastr). Revenue is not publicly available. - **Notable Investors/Partners**: Kickstart Fund (lead), WeFunder, Farhad Mohit, Jeremy Andrus, Start Up Loans, and others. - **Growth Signals**: - 47 employees as of mid‑2025 (LinkedIn data) – **+136.7% YoY** headcount growth. - Operations in 14 countries (US, India, Philippines, Portugal, Brazil, Indonesia, etc.). - 3 active job postings (Senior Fullstack, Senior Backend, Senior ML Engineer). - Traffic : ~32k monthly visits, global rank #13M (small but growing). - Tech stack: Kubernetes, TypeScript, TensorFlow, JavaScript, Stripe, Zendesk, CoreMedia, Power BI, Looker. ## Competitive Advantages - **All-in-one platform**: Combines recording, AI editing, AI clipping, hosting, and monetization – reducing tool switching for creators. - **High fidelity**: 4k video and 48kHz WAV audio, double-ended recording, suitable for professional podcasting. - **AI-powered features**: ZenAI for editing and clipping differentiates from basic recording tools. - **Remote-first culture**: Fully distributed team across 14 countries, enabling global talent pool. ## Strategic Focus - **AI integration**: Continued investment in AI to automate editing and content repurposing (clips). - **Growth and monetization**: Adding features to help creators grow audiences and generate revenue. - **Scaling engineering team**: Active hiring for senior engineering roles (Backend, Fullstack, ML) to build out platform. ## Why Work Here - **Culture**: Rated 4.3/5 for culture, 4.0/5 for work-life balance, 5.0/5 for compensation (from 6 reviews on Built In) [builtin.com](https://builtin.com/company/zencastr). - **Remote/hybrid policy**: Fully remote – employees work from anywhere; office presence not required. - **Benefits**: - Company equity and employee stock purchase plan. - Performance bonuses. - Generous parental leave and family medical leave. - Health, dental, and vision insurance. - Tuition assistance and job training + conferences. - Diversity-based Employee Resource Groups. - Customized development tracks for career growth. - **Engineering culture**: Senior-heavy team (9 senior engineers out of ~14 tech staff); strong emphasis on AI, infrastructure, and data. ## Sources 1. [zencastr.com](https://zencastr.com/) 2. [builtin.com](https://builtin.com/company/zencastr) 3. [linkedin.com](https://www.linkedin.com/company/zencastr) 4. [cbinsights.com](https://www.cbinsights.com/company/zencastr) 5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/zencastr) 6. [techcrunch.com](https://techcrunch.com/2022/08/22/zencastr-adds-editing-and-distro-in-bid-to-become-a-full-service-podcast-offering/) (referenced in LinkedIn, not directly searched but cited in source material) ## Other roles at Zencastr - [Recuiter](https://feeny.ai/job/recuiter-zencastr-eu-ws0dntz4msjs) — EU &, United States - [Senior Fullstack Engineer (Remote)](https://feeny.ai/job/senior-fullstack-engineer-remote-zencastr-san-francisco-wy7zkg6413m7) — San Francisco, CA - [Senior Backend Engineer (Remote)](https://feeny.ai/job/senior-backend-engineer-remote-zencastr-san-francisco-qj89y3n9eb7m) — San Francisco, CA