Senior Machine Learning Engineer (Remote)
New York Office · New York, United States
- Pay
- Pay not listedSimilar roles state $165K–$240K
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
What you’ll work on
Full postingDesign, research and develop ML applications and algorithms for podcasters and listeners
Build new product features that enrich Zencastr's ML services with engineering partners
Drive audio and text ML capabilities within the ML team
Lead design and implementation of major software components, systems and features
From the employer’s posting
Design, research and develop state-of-the-art machine learning applications and algorithms
Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features
Drive forward audio and text capabilities within the ML team
Ability to lead design and implementation of major software components, systems, and features
What you’ll bring
All qualificationsCore experience
- Postgraduate degree in ML, mathematics, computer science or related field
- 5+ years experience in Python
- 3+ years in ML research with a focus on speech
- 3+ years training or deploying neural networks
- Experience with PyTorch, TensorFlow or Scikit-Learn and building production ML systems
Qualification wording
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
Tools in this posting
- Python
- SQL
- AWS
- Docker
- Kubernetes
- MongoDB
- PyTorch
- scikit-learn
- TensorFlow
- GCP
Source — Tool mentions in context
- 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
- Advanced DSP experience - MongoDB or SQL experience - Experience with unit, integration, and load testing
- 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.
- Experience building APIs - Experience with Docker containers, Implementing Docker Containers, Container Clustering - Experience with container orchestration technology such as Kubernetes a big plus
- Experience with Docker containers, Implementing Docker Containers, Container Clustering - Experience with container orchestration technology such as Kubernetes a big plus How to apply:
- 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
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 67
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Aug 7, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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?
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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