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HomeCompaniesPodcastleSenior Machine Learning Engineer

Senior Machine Learning Engineer

Podcastle · Yerevan, Yerevan, 0009, Armenia · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyPodcastle
TitleSenior Machine Learning Engineer
Normalized title-
Department / teamAI&ML
LocationYerevan, Yerevan
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-01-22 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Podcastle.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Yerevan.Open
Department jobsActive postings in AI&ML.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPodcastle
Source0bcd9a63-3754-4719-97e3-68244fbf4280
ATS providerBambooHR

Description

About the company: We’re a technology-first team building the next generation of AI-powered audio and video creation. Our proprietary text-to-speech models rank among the top on Hugging Face leaderboards, and our research spans voice cloning, audio processing, and video understanding. At the core of what we build is real-time, low-latency voice technology that delivers expressive, controllable, multilingual speech. We care deeply about production reliability at scale, which means consistent voice quality, fast response times, robust streaming, and tools that are easy to integrate and trust. About the team: You’ll be joining a team that works at the intersection of cutting-edge AI and real-world creative workflows, with a shared mission to make professional-grade content creation accessible and genuinely enjoyable. About the role: We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. The ideal candidate should possess strong Python programming skills, a solid foundation in software development, and a passion for developing cutting-edge machine-learning solutions based on prototyped models. As a Machine Learning Engineer, you will be responsible for designing and deploying optimized models into production environments. You will play a key role in enhancing our Text-To-Speech, Voice Cloning, Speech Enhancement, and other AI-based systems to ensure peak performance. Typical responsibilities include: Build scalable, maintainable software solutions on top of prototyped models Deploy machine learning models into production environments at scale Leverage Flask and FastAPI frameworks to create REST microservices and APIs Optimize the speed and efficiency of existing Text-To-Speech, Voice Cloning, Speech Enhancement, and other systems Monitor, optimize, and maintain ML solutions Improve the speed, stability, and scalability of real-time audio endpoints We’re looking for someone with the following skills and qualifications: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field 3+ years of experience in ML engineering or backend + ML hybrid roles Strong proficiency in Python and clean software engineering practices Hands-on experience with Google Cloud Platform Hands-on experience with FastAPI, REST APIs Having experience working with message queues like: Google Pub/Sub, RabbitMQ, Kafka etc. Demonstrated experience deploying machine learning models on cloud platforms Experience with virtualization and cluster management tools, including Docker & Kubernetes Excellent communication and collaboration skills Desired experience in: Hands-on experience with WebSocket APIs Experience in optimizing and improving the speed of machine learning systems Having experience creating scalable data pipelines leveraging workflow orchestration tools such as Airflow Experience deploying optimized/quantized models in browsers Why Async? Startup Environment: Experience the energy and agility of a fast-growing startup where your contributions directly shape product direction and company success Cutting-Edge AI Technologies: Work with the latest AI agents, LLMs  at the forefront of audio and video AI innovation Professional Development: opportunities to grow your skills in AI and distributed systems Flat Company Structure: promoting direct collaboration and rapid decision-making Health Insurance: coverage with comprehensive benefits GYM Membership: benefits to support your well-being Pioneering Mindset: with innovative people around you pushing the boundaries of what's possible At Async, we believe artificial intelligence has the potential to help people solve immense creative challenges, and we want the upside of AI-powered content creation to be widely shared. Join us in shaping the future of audio and video technology.

Full job record

Job ID3cffaf5ea1d2f2eea3eaa66fbf4a3edd7e43bb38
Org ID797c94b7-1e06-4c2a-8785-c4b71fa13e57
Source ID0bcd9a63-3754-4719-97e3-68244fbf4280
Board ID0bcd9a63-3754-4719-97e3-68244fbf4280
Providerbamboohr
Provider Job Key54
TitleSenior Machine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextYerevan, Yerevan, 0009, Armenia
DepartmentAI&ML
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionYerevan
CityYerevan
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://podcastle.bamboohr.com/careers/54
Apply URLhttps://podcastle.bamboohr.com/careers/54
First Seen At2026-05-30 05:40:16Z
Last Seen At2026-06-06 20:32:29Z
Last Checked At2026-06-06 20:32:29Z
Last Changed At2026-05-30 05:40:16Z
Inactive At
Source Posted At2026-01-22 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=podcastle/date=2026-06-06/2026-06-06T20-32-28-227Z-c323649f850ef486b60a4c64c1377e8b207e4932ef3998e7ecb0965f98ed1198.json
Event Fields
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Parsed Structured
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Extensions
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    "description": "<p><span style=\"font-size: 12pt; font-weight: bold\">About the company: </span></p>\n<p><span style=\"font-size: 10pt\">We’re a technology-first team building the next generation of AI-powered audio and video creation. Our proprietary text-to-speech models rank among the top on Hugging Face leaderboards, and our research spans voice cloning, audio processing, and video understanding.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">At the core of what we build is real-time, low-latency voice technology that delivers expressive, controllable, multilingual speech. We care deeply about production reliability at scale, which means consistent voice quality, fast response times, robust streaming, and tools that are easy to integrate and trust.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">About the team:</span></p>\n<p><span style=\"font-size: 10pt\">You’ll be joining a team that works at the intersection of cutting-edge AI and real-world creative workflows, with a shared mission to make professional-grade content creation accessible and genuinely enjoyable.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">About the role:</span></p>\n<p><span style=\"font-size: 10pt\">We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. The ideal candidate should possess strong Python programming skills, a solid foundation in software development, and a passion for developing cutting-edge machine-learning solutions based on prototyped models. As a Machine Learning Engineer, you will be responsible for designing and deploying optimized models into production environments. You will play a key role in enhancing our Text-To-Speech, Voice Cloning, Speech Enhancement, and other AI-based systems to ensure peak performance.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Typical responsibilities include:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Build scalable, maintainable software solutions on top of prototyped models</span></li>\n<li><span style=\"font-size: 10pt\">Deploy machine learning models into production environments at scale</span></li>\n<li><span style=\"font-size: 10pt\">Leverage Flask and FastAPI frameworks to create REST microservices and APIs</span></li>\n<li><span style=\"font-size: 10pt\">Optimize the speed and efficiency of existing Text-To-Speech, Voice Cloning, Speech</span></li>\n<li><span style=\"font-size: 10pt\">Enhancement, and other systems</span></li>\n<li><span style=\"font-size: 10pt\">Monitor, optimize, and maintain ML solutions</span></li>\n<li><span style=\"font-size: 10pt\">Improve the speed, stability, and scalability of real-time audio endpoints</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">We’re looking for someone with the following skills and qualifications:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Bachelor's or higher degree in Computer Science, Machine Learning, or a related field</span></li>\n<li><span style=\"font-size: 10pt\">3+ years of experience in ML engineering or backend + ML hybrid roles</span></li>\n<li><span style=\"font-size: 10pt\">Strong proficiency in Python and clean software engineering practices</span></li>\n<li><span style=\"font-size: 10pt\">Hands-on experience with Google Cloud Platform</span></li>\n<li><span style=\"font-size: 10pt\">Hands-on experience with FastAPI, REST APIs</span></li>\n<li><span style=\"font-size: 10pt\">Having experience working with message queues like: Google Pub/Sub, RabbitMQ, Kafka etc.</span></li>\n<li><span style=\"font-size: 10pt\">Demonstrated experience deploying machine learning models on cloud platforms</span></li>\n<li><span style=\"font-size: 10pt\">Experience with virtualization and cluster management tools, including Docker &amp; Kubernetes</span></li>\n<li><span style=\"font-size: 10pt\">Excellent communication and collaboration skills </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Desired experience in:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Hands-on experience with WebSocket APIs</span></li>\n<li><span style=\"font-size: 10pt\">Experience in optimizing and improving the speed of machine learning systems</span></li>\n<li><span style=\"font-size: 10pt\">Having experience creating scalable data pipelines leveraging workflow orchestration tools such as Airflow</span></li>\n<li><span style=\"font-size: 10pt\">Experience deploying optimized/quantized models in browsers</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Why Async?</span></p>\n<ul>\n<li><span style=\"font-size: 10pt; font-style: italic\">Startup Environment: </span><span style=\"font-size: 10pt\">Experience the energy and agility of a fast-growing startup where your contributions directly shape product direction and company success</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">Cutting-Edge AI Technologies:</span><span style=\"font-size: 10pt\"> Work with the latest AI agents, LLMs  at the forefront of audio and video AI innovation</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">Professional Development:</span><span style=\"font-size: 10pt\"> opportunities to grow your skills in AI and distributed systems</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">Flat Company Structure:</span><span style=\"font-size: 10pt\"> promoting direct collaboration and rapid decision-making</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">Health Insurance: </span><span style=\"font-size: 10pt\">coverage with comprehensive benefits</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">GYM Membership:</span><span style=\"font-size: 10pt\"> benefits to support your well-being</span></li>\n<li><span style=\"font-size: 10pt; font-style: italic\">Pioneering Mindset:</span><span style=\"font-size: 10pt\"> with innovative people around you pushing the boundaries of what's possible</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">At Async, we believe artificial intelligence has the potential to help people solve immense creative challenges, and we want the upside of AI-powered content creation to be widely shared. Join us in shaping the future of audio and video technology.</span></p>",
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