About us

• Respeecher is a pioneer in the area of AI-generated voices.
• In 2019, our voices were the first to be used in a Hollywood movie.
• In 2024 we gave AI superpowers to the main characters of the Oscar-winning movies “The Brutalist” and “Emilia Pérez.”
• Our AI research team has developed a panoply of models and training and inference techniques that are expertly deployed by our delivery team, which has worked on 200+ projects in dozens of languages across almost every sector of the media and entertainment industry.
• This year, we’re expanding beyond M&E, starting with the launch of our real-time text-to-speech API for voice chatbots.

About the role

• We’re looking for a fullstack engineer to help us build and scale our real-time TTS API. While the initial version is about to launch, we’re just getting started — and there’s a long list of interesting and challenging problems ahead. You’ll join a small team with a founder mindset and a deep care for developer experience and customer success.
• We may have been pioneers in AI voices, but we’re now competing in a fast-moving space. To win, we’ll need to deliver a world-class product, with performance, reliability, and user experience at its core.
• We mostly work in Python but reach for other tools when needed.

What you might work on

• Depending on your strengths and the needs of the product, you could dive into:
• Integration with model-serving engines (vLLM or SGLang)
• Serving multi-model deployments in Kubernetes with Ray Serve
• Observability using SaaS products like VictoriaMetrics and open-source tools
• In-house systems for testing model output quality — fully automated and human-in-the-loop
• FastAPI-based client-facing APIs, backed by Postgres
• SDKs and docs powered by Fern
• Frontend (React + Cloudflare) for onboarding, billing, and API playground
• Analytics to guide product iteration
• Talking to customers — we hope you will enjoy communicating with the people we are building all this stuff for

What we’re looking for

• Shipped full-stack products before — whether at work or in side projects
• Efficient work in Python
• Comfortable working in a low-structure environment with lots of unknowns
• A scientist’s curiosity when debugging performance and reliability issues
• Strong focus on building clean, understandable systems
• Passion for DX and developer-first APIs
• A habit of keeping up with emerging tools and tech — and knowing what’s useful vs hype
• Strong opinions, loosely held
• Clear communication in English

Why you should join us

• Make an impact from day one — you’ll work directly with founders and product leads
• Help shape a new product and a new market for Respeecher
• Own your work — vision, execution, and iteration
• Work in a collaborative, learning-focused environment

Benefits

• Unlimited vacation policy
• Office in central Kyiv and freedom to work from the office or remotely
• Amazing colleagues who love what they do and helping each other out

Apply now

About us

• Respeecher is a pioneer in the area of AI-generated voices.
• In 2019, our voices were the first to be used in a Hollywood movie.
• In 2024 we gave AI superpowers to the main characters of the Oscar-winning movies “The Brutalist” and “Emilia Pérez.”
• Our AI research team has developed a panoply of models and training and inference techniques that are expertly deployed by our delivery team, which has worked on 200+ projects in dozens of languages across almost every sector of the media and entertainment industry.
• This year, we’re expanding beyond M&E, starting with the launch of our real-time text-to-speech API for voice chatbots.

About the role

• We’re hiring a hands-on infrastructure leader to build the foundation of our AI platform. You’ll shape how we train and deploy AI across all products — helping us move from experimental research to scalable systems.
• This is both an individual contributor and a product-owner role: you’ll write code but also define the roadmap and support internal users from R&D, delivery, and engineering.
• You’ll begin as a team of one, supported by collaborators across Respeecher. Over time, you’ll build a dedicated infrastructure team.

What you might work on

• You won’t do all of these at once — part of your job will be to prioritize and sequence the work:
• Build a system to support processing and then training on large amounts of data stored in S3
• Design modular, composable model interfaces — e.g., DAG-style composition, DRY config, not requiring unused dependencies, separable training and inference code
• Support complex training schemes — e.g., curriculum learning or learned feature extractors
• Ensure that we always know how each model was trained and on what data
• Implement best practices for distributed training — e.g., Megatron, DeepSpeed
• Support internal teams like a product partner: understand their workflows, build for them, teach them, and iterate based on feedback

What we’re looking for

• Experience building infrastructure for training and serving ML models, including distributed training and large-scale datasets
• Proven ability to design modular codebases and robust data pipelines with clear provenance
• Experience with complex training schemes
• Strong debugging skills and a curious, scientific mindset for solving reliability and performance issues
• Passion for building tools that are safe, composable, and easy to use
• Comfort in low-structure environments, and motivation to drive prioritization and architecture decisions
• Strong opinions, loosely held
• Clear communication in English

Why you should join us

• Have an impact from day one. You will be making things that will directly impact everyone technical at Respeecher and form the foundation for us to move fast and innovate
• Own the product — drive the vision for how our data and AI infrastructure will work and build an AI infrastructure team
• Be part of a thoughtful, low-ego team that values pragmatism, simplicity, and clarity

Benefits

• Unlimited vacation policy
• Office in central Kyiv and freedom to work from the office or remotely
• Amazing colleagues who love what they do and helping each other out

Apply now

About us

• Respeecher is a pioneer in the area of AI-generated voices.
• In 2019, our voices were the first to be used in a Hollywood movie.
• In 2024 we gave AI superpowers to the main characters of the Oscar-winning movies “The Brutalist” and “Emilia Pérez.”
• Our AI research team has developed a panoply of models and training and inference techniques that are expertly deployed by our delivery team, which has worked on 200+ projects in dozens of languages across almost every sector of the media and entertainment industry.
• This year, we’re expanding beyond M&E, starting with the launch of our real-time text-to-speech API for voice chatbots.

About the role

• We’re looking for an engineer to help design and code the systems we use to train and deploy AI models.
• We care more about what you can do than your title or years of experience — some of our best hires started with no formal ML background but a passion for infrastructure and learning.
• The current codebase is mostly a PyTorch-based monolith that has grown organically over years.

What you might work on

• You won’t do all of these at once — part of your job will be to prioritize and sequence the work:
• Build a system to support processing and then training on large amounts of data stored in S3
• Design modular, composable model interfaces — e.g., DAG-style composition, DRY config, not requiring unused dependencies, separable training and inference code
• Support complex training schemes — e.g., dataset mixtures that change during training or training models to extract features for other models
• Ensure that we always know how each model was trained and on what data
• Support internal teams like a product partner: understand their workflows, build for them, teach them, and iterate based on feedback
• You won’t train models, deploy them, or run inference — but you’ll build the systems that make all of that easy, reliable, and consistent across environments, with minimal opportunity for human error.

What we’re looking for

• We don’t expect you to have experience with all of our tools and techniques — what matters is how you think, how you build, and what kinds of problems you want to take ownership of. You might be a good fit if:
• You have strong software engineering skills and value simplicity and clarity in code, configuration, and documentation
• You can work efficiently in Python, handling data with NumPy and PyTorch
• You think about invariants and making systems safe by default
• You would enjoy turning complex, fragile workflows into something clean, modular, and reproducible
• You’re eager to learn what you need to do the job well — whether that’s infrastructure tools, ML workflows, or how our teams operate
• You work well in low-structure environments and like figuring out what’s most important to do
• You have strong opinions, loosely held
• You communicate clearly in English

Why you should join us

• Solve interesting problems
• Design and build substantial systems that can have a big impact on the company
• Be part of a thoughtful, low-ego team that values pragmatism, simplicity, and clarity

Benefits

• Unlimited vacation policy
• Office in central Kyiv and freedom to work from the office or remotely
• Amazing colleagues who love what they do and helping each other out

Apply now

About us

• Respeecher is a pioneer in the area of AI-generated voices.
• In 2019, our voices were the first to be used in a Hollywood movie.
• In 2024 we gave AI superpowers to the main characters of the Oscar-winning movies “The Brutalist” and “Emilia Pérez.”
• Our AI research team has developed a panoply of models and training and inference techniques that are expertly deployed by our delivery team, which has worked on 200+ projects in dozens of languages across almost every sector of the media and entertainment industry.
• This year, we’re expanding beyond M&E, starting with the launch of our real-time text-to-speech API for voice chatbots.

Key responsibilities

• Develop and implement comprehensive crowd marketing strategies to increase brand visibility and product adoption
• Monitor relevant threads for brand mentions, provide helpful responses to questions about our products/services, and participate in discussions where our expertise adds value
• Identify and engage with relevant online communities, forums, and platforms where our target audience is active (Reddit, Quora, industry-specific forums, etc.)
• Request, post, and repost valuable, authentic content that positions our AI voice solutions as industry-leading while adhering to community guidelines
• Collaborate with the content, social media, and product marketing teams to ensure consistent messaging and alignment with broader marketing initiatives
• Gather and analyze feedback from communities to provide insights to product and marketing teams
• Track and report on key metrics to measure the effectiveness of crowd marketing initiatives

Requirements

• 2+ years of experience in community management, digital marketing, or related fields
• Proven track record of successful community engagement and crowd marketing campaigns
• Strong understanding of various online platforms and their unique cultures (Reddit, Quora, etc.)
• Excellent written and verbal communication skills with the ability to adapt tone for different audiences

Would be a plus

• Understanding of AI technologies and the SaaS business model
• Analytical mindset with the ability to track and report on marketing metrics
• Relevant certifications in digital marketing or community management

Benefits

• Unlimited vacation policy
• Office in central Kyiv and freedom to work from the office or remotely
• Amazing colleagues who love what they do and helping each other out

Apply now

About us

• Respeecher is a pioneer in the area of AI-generated voices.
• In 2019, our voices were the first to be used in a Hollywood movie.
• In 2024 we gave AI superpowers to the main characters of the Oscar-winning movies “The Brutalist” and “Emilia Pérez.”
• Our AI research team has developed a panoply of models and training and inference techniques that are expertly deployed by our delivery team, which has worked on 200+ projects in dozens of languages across almost every sector of the media and entertainment industry.
• This year, we’re expanding beyond M&E, starting with the launch of our real-time text-to-speech API for voice chatbots.

Key responsibilities

• Establish and grow our company's online community presence across multiple platforms
• Creating and managing a Discord server with engaging channels and events
• Monitoring and responding to comments across Facebook, LinkedIn, Twitter, and Instagram
• Heloing develop content calendars for consistent engagement, and implementing strategies to increase follower counts and engagement metrics.

Requirements

• 2+ years of experience in community management, preferably across multiple platforms
• Demonstrated experience growing and managing online communities on at least three of the required platforms (Discord, Facebook, Twitter, LinkedIn, Instagram)
• Excellent written and verbal communication skills with ability to adapt tone for different platforms
• Strong understanding of community moderation best practices
• Experience creating engaging social content

Would be a plus

• Ability to work with analytics tools to track community metrics
• Strong interpersonal skills and conflict resolution abilities
• Basic graphic design skills for creating simple community assets

Benefits

• Unlimited vacation policy
• Office in central Kyiv and freedom to work from the office or remotely
• Amazing colleagues who love what they do and helping each other out

Apply now

• Do real research with deep generative models of audio in a small, scientifically-minded team
• Freedom to try out ideas of your own
• There might be publication opportunities

Duties

• Implement and maintain deep learning models in PyTorch
• Train models, keep track of performance, and tune hyperparameters
• Proactively read relevant literature and generate ideas for model enhancements

We expect you to

• Have advanced knowledge in relevant areas of mathematics and statistics
• Have a working knowledge of various techniques, tricks, and best practices for designing deep nets, hyperparameter optimization, visualization, interpretation, etc.
• Have a bunch of failure stories about the deep learning projects you’ve been involved in (and some success stories)
• Have a good understanding of deep generative models. You may work on autoregressive models, GANs, VAEs, or flow-based models.
• Speak Polish fluently

Would be a plus

• Degree in computer science or a similar degree
• Knowledge of Digital Signal Processing theory
• Knowledge of speech processing
• Knowledge about TTS
• Participation in DS/ML/DL competitions (e.g. Kaggle)
• Knowledge of CUDA / interest in developing custom CUDA kernels
• Experience deploying machine learning models

Benefits

• Do real research with deep generative models of audio in a small, scientifically-minded team
• Freedom to try out ideas of your own
• There might be publication opportunities

Apply now

Duties

• Analyzing and structuring audio data and datasets
• Experimenting with audio processing, dataset design, and AI model configurations
• Working with AI models
• Carefully processing AI model training results and selecting the best outputs
• Post-processing of synthesized audio

We expect you to

• Be a confident user of DAW
• Speak English at Intermediate (or higher) level and have good comprehension of spoken English
• Pay attention to detail and an analytical approach to analyzing audio materials
• Be able to listen to audio materials for extended periods
• Have basic knowledge of Linux and the command line, or a strong desire to learn
• Be able to work both in a team and independently

Would be a plus

• Interest in developing audio plugins
• Knowledge of Reaper, Audacity, Izotope RX
• Basic knowledge of Python
• Experience with writing Bash scripts
• Experience with Max/MSP or Pure Data
• Interest in AI

Apply now