Are you looking to work on AI technology that’s cutting-edge, infused into a user-facing product like never before?
 

Look no further.

 

Join Rabbit, a pioneering company developing a first-of-it’s-kind AI-powered conversational device. It features a ground-breaking foundation model (Large Action Model) and an operating system powered by natural language. The conversational AI operating system (rabbitOS) breaks away from the limitations of current app-based operating systems.

 

They are on the verge of something revolutionary, and they want you to be a part of it. We are hiring candidates with a minimum of 2 years' experience, extending to senior/staff levels.

 

Your role:

As an Applied ML Engineer, you will tackle diverse technical challenges as they scale their ML function. You will need extensive experience working with various ML models, both off-the-shelf packages and open-source solutions, fine-tuning them to address a variety of challenges. You will also work on ML infrastructure supporting various services (LLMs, NLU, Computer Vision, Speech recognition, Speech Synthesis), performance/latency optimization, data services, and more.

 

This role emphasizes production work, including ML infrastructure setup, deployments, fine-tuning models, building data pipelines, and writing low-level code to address latency challenges.

 

Skills needed:

•       Proven ML Engineering or ML infra/ops experience. A minimum of two years of commercial experience.

•       Strong software engineering in Python, C++, with comfort in languages like Go, or Rust, or JS/Typescript

•       PyTorch or Tensorflow. TensorRT and ONNX are useful.

•       Using models/APIs such as Huggingface, OpenAI, etc. You'll be familiar with fine-tuning those models in areas such as: NLG, NLP, NLU, ASR, TTS, Computer Vision.

•       Experience with AI lifecycle frameworks (AWS Sagemaker, Vertex AI, Azure ML, ClearML)

•       Solving latency, performance, and inference challenges (grafana, DataDog, etc)

 

As we’re hiring for many roles, we’d also consider those who have a strong background in Back End Engineering (Software Engineering, Infrastructure, DevOps) who have recently entered into Machine Learning.

 

Nice to have skills:

•                 Experience with ML-based and real-time customer-facing systems, including distributed systems

•                 Conversational AI or Voice AI experience

•                 Experience with on-device Machine Learning (on-device speech, smart speakers, on-device video platforms, etc)

•                 Websockets, WebRTC

•                 RAG

•                 Containers – Kubernetes, Docker

 

What’s on offer:

Rabbit is a well-funded company ($30+ million) with successful start-up co-founders. You'll be part of an exceptional and fast-growing team.

 

The position is based in Los Angeles, hybrid with 3 days a week on-site in Santa Monica. If you are based in the US but not in LA, relocation support is available. Visas can also be supported.

 

Compensation:

Estimated salary between $170k-$250k (negotiable), generous shares, Healthcare, Unlimited PTO, Annual comp reviews, and company performance-related bonus.

 

Interview process:

1 - Initial call with recruiter (Marc at Techire AI) - 30 mins

2 - Call with Head of Applied ML Engineering - 30 mins

3 - Live Coding interview - 45 mins

4 - Final interview - 45 mins

Offer

 

We estimate the full process will take around 2 weeks. We can move fast if you have availability.

 

How to apply:

Apply now, via this advert, to Marc Powell at Techire AI for immediate consideration.

 

Please note Techire AI is a retained staffing partner of Rabbit Inc. and is managing all applications for the Applied ML team. All applications must go through Techire AI to be considered.

 

We do not accept submissions from other recruitment agencies, consultancies, or outsourcing companies.

Are you an adept deep learning scientist looking to work on advanced speech AI technology?

 

This company are actively looking for an experienced Research Scientist for a Lead Researcher position focussed on TTS. You’ll pioneer deep learning and machine learning models and play a role in the development on the Science team.

 

Key Responsibilities:

• ML Model Refinement: Collaborate on honing architectures, fine-tuning parameters, and training text-to-speech and speech-to-speech machine learning models.
• Experimentation and Refinement: Conduct research experiments to iterate and refine machine learning models, aiming for heightened performance.
• Collaboration: Work closely with peers in scientific and engineering roles, contributing to the development and seamless integration of machine learning models. Collaboration and communication is essential to lead this globally distributed team.
• Cloud-Based Streamlining: Ensure the effective execution of models and overall inference pipelines on cloud platforms.
  
  

Required Qualifications:

• Professional Background: Over 5 years in Deep Learning. With recent 2+ years in text-to-speech and voice conversion.
• Team Leadership: 2+ years leading teams.
• Technical Competence: Hands-on involvement with Python development and debugging.
• Expertise in Deep Learning: Proficiency in various deep learning methodologies.
• State-of-the-art: Experience with various SOTA deep learning techniques for TTS including Diffusion, GANs, VAEs, Vocoder, Encoder, Decoders, Language modelling for TTS.
• Educational Foundation: PhD preferred, Masters considered (in areas such as Computer Science, Deep Learning, Machine Learning, Speech/Language, Dialog systems)

 

This is a remote position, and applications from across the globe are welcomed and adjustments are always made to accommodate those on different timezones. Your salary will depend on location and experience. Estimated salary for the United States is $200k. Up to $220k for tech hubs such as San Francisco, Seattle, New York, Los Angeles or Austin.

 

If you are enthusiastic about breaking new ground in speech AI, possess substantial expertise in deep learning, and have a history of driving innovation, we encourage you to apply.

The future of communication should be bias and barrier-free. That's the vision behind this well-funded start-up pioneering real-time speech algorithms.

 

You’ll join a research team on tech that is the first of its kind, improving how we communicate in the real world. By offering clear, natural-sounding conversations regardless of accent or environment. Their ground-breaking technology is already providing impressive results, so it’s no wonder they’re growing x4 annually.

 

They are creating the whitespace in speech research, and you’ll play a key role.

 

As a Senior Applied ML Scientist, you’ll join a small but strong R&D team of experts in the field of Text-to-Speech, Speech Synthesis and Voice Conversion.

 

The role

 

• Lead cutting-edge R&D advancing core speech algorithms and Generative Audio models. Continually push boundaries to the next level.
• Tackle unsolved problems in Generative Speech and Audio such as preserving naturalness and performance in noisy environments.
• End-to-end ownership of models, from data collection to training on the cloud.
• Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency

 

You'll have

 

• 2+ years of industry experience developing and implementing either of the following: TTS, Voice Conversion/Cloning, Speech Synthesis, Speech Translation, Accent Translation, Speech Restoration
• Degree in Computer Science, ML, or related field. PhD is nice to have.
• Proven experience with PyTorch, TensorFlow and modern DL techniques such as GANs, VAEs, diffusion or flow models, etc.
• Familiar with cloud-based technologies and production environments

 

 

What you’ll get in return

 

• A negotiable and genuinely open package for the right candidate, we're looking for the best people who want to work in an environment of freedom and autonomy.
• Benefits include a competitive salary (up to $400K depending on experience), unlimited PTO, and a bonus based on performance that can be taken as equity or cash. You'll also get share options, health coverage, and a VPO plan.
• Contributing to whitespace in speech technology research, you'll have control over the direction of your work. You’re the expert after all.

 

This is a hybrid role in the Bay area, so you'll need to be based here, or willing to relocate. 

If you’re looking to make an impact, there are few better places to do it. Your work here has the power to improve communication, eliminate confusion, and create a more connected world.

 

If you want the freedom to shape the future of speech AI, apply now.

 

The future of communication should be bias and barrier-free. That's the vision behind this well-funded start-up pioneering real-time speech algorithms.

 

You’ll join a research team on tech that is the first of its kind, improving how we communicate in the real world. By offering clear, natural-sounding conversations regardless of accent or environment. Their ground-breaking technology is already providing impressive results, so it’s no wonder they’re growing x4 annually.

 

They are creating the whitespace in speech research, and you’ll play a key role.

 

As a Lead Applied ML Scientist, you’ll manage a small but mighty R&D team advancing core speech algorithms and audio AI models.

 

The Role

 

• Lead cutting-edge R&D advancing core speech algorithms and Generative Audio models. Continually push boundaries to the next level.
• Tackle unsolved problems in Generative Speech and Audio such as preserving naturalness and performance in noisy environments.
• End-to-end ownership of models, from data collection to training on the cloud.
• Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency

 

You'll Have

 

• 4+ years of industry experience developing and implementing either of the following: Text-to-Speech (TTS), Voice Conversion/Cloning, Speech Synthesis, Speech Translation, Accent Translation, Speech Restoration
• Degree in Computer Science, ML, or related field. PhD is nice to have.
• Proven experience managing a small team, including people management (resource management, performance reviews etc)
• Proven experience with PyTorch, TensorFlow and modern DL techniques such as GANs, VAEs, diffusion or flow models, etc.
• Familiar with cloud-based technologies and production environments

 

 

What you’ll get in return

 

• A negotiable and genuinely open package for the right candidate, we're looking for the best people who want to work in an environment of freedom and autonomy.
• Benefits include a competitive salary (up to $400k depending on experience), unlimited PTO, and a bonus based on performance that can be taken as equity or cash. You'll also get share options, health coverage, and a VPO plan.
• Contributing to whitespace in speech technology research, you'll have control over the direction of your work. You’re the expert after all.

 

This is a hybrid role in the Bay area, so you'll need to be based here, or willing to relocate. 

If you’re looking to make an impact, there are few better places to do it. Your work here has the power to improve communication, eliminate confusion, and create a more connected world.

 

If you want the freedom to shape the future of speech AI, apply now.

Are you ready to shape the future of conversations by being part of a dynamic team in the forefront of LLM / Large Language Model innovation for a well-established conversational AI unicorn?

 

They are expanding their teams to pioneer LLM advancements throughout their business, and they want you, an Applied ML Scientist with experience in LLMs to be an integral part of this exciting journey.

 

Your role will involve applying Language Models to a variety of products, including multimodal systems, dialog systems/conversational AI (chat and voicebots), and diverse NLP solutions, ranging from call transcripts to named entity recognition and trust & safety.

 

In this position, you will conduct research, design, build, and deploy transformer-based models for large-scale production. Your responsibilities include fine-tuning Language Models for various conversational AI products, including multimodal solutions that support both text and image. You will be part of a team focussed on the development, training, and testing of large-scale models, emphasizing latency, quality, safety, and cost reduction to minimize hallucinations.

 

Your background should include industry experience in Machine Learning/Deep Learning post-Masters. PhDs are also considered should your research topic be in LLMs, Conversational AI or NLP. Recent experience should include production work, fine-tuning Language Models, and experience with transformer-based architectures.

 

This is a hybrid role based in the Bay Area or NYC, with two days per week in the office. Competitive basic salaries, starting from $140,000 (for those straight from PhD to $200,000 at senior/staff levels (negotiable based on experience), are complemented by generous stock options, annual bonuses, 401k match, healthcare (medical, dental, vision), and substantial PTO.

 

Seize the opportunity! Apply today for immediate consideration and be a part of shaping the future of conversational AI.

 

Are you ready to shape the future of conversations by leading a dynamic team in the forefront of LLM / Large Language Model innovation for a well-established conversational AI unicorn?

 

They are expanding their teams to pioneer LLM advancements throughout their business, and they want you – a Senior Staff/Principal Scientist – to be an integral part of this exciting journey.

 

Your role will involve applying Language Models to a variety of products, including multimodal systems, dialog systems/conversational AI (chat and voicebots), and diverse NLP solutions, ranging from call transcripts to named entity recognition and trust & safety.

 

In this position, you will conduct research, design, build, and deploy transformer-based models for large-scale production. Your responsibilities include fine-tuning Language Models for various conversational AI products, including multimodal solutions that support both text and image. You will take charge of the development, training, and testing of large-scale models, emphasizing latency, quality, safety, and cost reduction to minimize hallucinations.

 

Collaboration is key. You will work closely with R&D, platform engineering, and product management teams, contributing to the design and architecture of data collection and processing pipelines for model training.

 

This role presents ample opportunities for growth. As a Senior Staff member, you'll quickly transition into a managerial role, building and leading your own team. The company are pre-IPO but you'll be part of a well-established, well-funded organization that is generating substantial revenue.

 

Your background should encompass a minimum of 7 years of experience in Machine Learning/Deep Learning post-Masters. PhDs with less industry experience (PhD + 4 years) will also be considered. Your expertise should primarily lie in NLP, Conversational AI, or related fields. Recent experience should include production work, fine-tuning Language Models, and extensive involvement with transformer-based architectures.

 

This is a hybrid role based in the Bay Area or NYC, with two days per week in the office. Competitive basic salaries, approximately $220,000 (negotiable based on experience), are complemented by generous stock options, annual bonuses, 401k match, healthcare (medical, dental, vision), and substantial PTO.

 

Seize the opportunity! Apply today for immediate consideration and be a part of shaping the future of conversational AI.

Conversational AI has gained significant traction over the past few years. Coupled with generative AI, we're witnessing some of the most advanced conversational AIs to date.

If you're reading this, you're probably interested that we're hiring Applied ML/Research Engineers for a company in the Voice AI space that has built advanced and intelligent AIs at a significant scale, rolling solutions out across some of the world's largest companies.

This company has a track record of doing this, and now they're back for more with their cutting-edge Voice AI solution. This is not a business merely wiring together public APIs. They have built their very own proprietary AI solution.

You'll join a strong team not only with deep technical ML experience but also as an actively publishing organization, focused on maintaining an excellent innovation culture.

Aside from the technical aspect, their team consists of caring, passionate, and self-aware individuals. This makes for a great environment where communication flows freely. Your ideas and suggestions are always heard in this intellectually stimulating environment, as you work closely with your peers to introduce the latest and greatest approaches to their products.

Day-to-day, you'll be building cutting-edge models, working with transformer architectures for NLU, NLP, and an array of language models from LLMs to more traditional approaches. You'll own NLU projects, work on model pipelines, measure performance, and ensure models are optimal. Keeping up to date with the latest research, you'll experiment and apply new approaches to your work.

Your background should be in Machine Learning and Deep Learning, including model building, a strong understanding of algorithms and data structures. Experience applying transformer model architectures to NLU & NLP challenges is crucial. Language modeling should be familiar to you, and more recently, you'll have been exploring LLMs, including fine-tuning models.

Python and PyTorch experience is expected. If you have a PhD, that would be ideal. A Master's in AI or Computer Science or related studies, plus significant industry experience, is also considered.

You'll really stand out if you're an author of research publications at top-tier conferences.

As for your package, you'll receive a competitive salary. For Senior Engineers, salaries start from circa $200k, depending on your experience. You'll get a 401k match, unlimited PTO, stock options, and full medical coverage for yourself and your family members, including health, dental, and eye care.

You'll be based in the Bay Area, or willing to move there, as they offer a hybrid working environment, with 3 days per week on-site.

Click 'apply' today for immediate consideration.

A start-up in the AI and Speech domain is looking for a Machine Learning Engineer, focused on Speech Data to join their team as they scale.

 

You’ll develop and operate pipelines for large-scale speech data processing and build algorithms for training speech ML models. Researching new approaches, including model training, evaluation of speech ML models and gain insights into enhancing model performance through various data methods and/or tools.

You'll be responsible for improving the model quality. More specifically, own the full life cycle of ML training data acquisition, data processing, data selection, model training, model evaluation, results analysis, and using the results as feedback for deciding the next steps on the data acquisition / selection process. 

Your background will include large-scale data processing, proven experience in training Speech models, and experience in speech and/or audio processing. You must have significant industry experience, at least 4 years after education. 

As far as technical skills go – you’ll be proficient in Python, used to building models in PyTorch (Tensorflow experience also considered) and be used to building data processing pipelines in Apache Spark, Apache Beam or similar.

 

If you have experience in C++ and GCP, that would be desirable but not essential.

 

You’ll be based remotely in the US, although there is the option to be based on site 2-3 days per week in the San Francisco Bay Area.

 

Salaries range from $170,000 - $220,000 depending on experience. You’ll also get stock options.

 

This start-up team are not new to the start-up world, having built and sold start-ups previously, in this domain. They are well-funded by top tech investors.

 

Now is the time to surround yourself with a world-class team and be part of something great. Apply now for immediate consideration.