A fast-growing AI audio startup is looking for a Lead Researcher to spearhead their next breakthrough: a text-to-music platform with advanced vocal synthesis capabilities. With over 5M active users and backing from music industry legends, they've proven their ability to deliver impactful AI audio tools at scale while generating substantial revenue.

Building on their commitment to ethically sourced and licensed data, this is a unique chance to lead the technical direction of a new proprietary platform from the ground up. You'll join a small but experienced team where you'll have true ownership and autonomy, with millions of existing users ready to adopt your innovations.

Core focus:

• Lead the development of large-scale generative text-to-music models with advanced vocal synthesis
• Pioneer novel approaches in AI singing and voice synthesis
• Drive technical strategy and research direction
• Build and lead the research team as it grows

Requirements:

• Experience with large diffusion or autoregressive generative music model training
• Experience with SOTA music generation techniques
• Experience with vocal synthesis is a plus!

The role offers:

• Comp DOE €130-€200k plus equity
• Fully remote (overlap with 9am-2pm PST required)
• Direct collaboration with the Co-Founders

If you're excited about building ethical, industry-changing technology with immediate real-world impact, we'd love to hear from you.

Ready to build the MLOps infrastructure that powers the next generation of real-time conversational AI avatars?

An innovative AI startup is seeking an MLOps Engineer to lead their GPU infrastructure from 0-1, taking ownership of all MLOps challenges as they scale their breakthrough technology.

They're developing groundbreaking technology in real-time, conversational AI avatars. While current AI avatars are typically slow, scripted, and unable to convey natural emotion, their solution enables real-time personas capable of understanding verbal and non-verbal cues with responses in under 500ms.

Founded by experienced entrepreneurs from a leading AI company, they secured funding earlier this year with a new round soon to be announced. In the short time since launch, they've already gained significant traction, with over 100 paying customers, including globally recognised brands. Their team includes alumni from Twitter, Google, and other tech giants, supported by an industry advisor from a prominent AI company.

In this role, you'll collaborate directly with the CTO and research team to:

• Take full ownership of the MLOps pipeline
• Develop cloud infrastructure enabling researchers to train and experiment
• Establish processes for managing proprietary datasets
• Create and implement long-term infrastructure planning
• Support the Research team with ML infrastructure needs

Requirements:

• Strong background in ML or Backend Engineering (in an ML function)
• Recent hands-on MLOps experience
• Experience with inference and performance optimisation
• Strong coding abilities with a language-agnostic approach
• Pragmatic problem-solving mindset
• Exceptional written and spoken English. As a remote company this is super important.

Nice to have:

• Experience with mixed precision training
• GPU programming expertise

The company is remote first, with quarterly team meetings in London (3 days at a time). Candidates must be based in European time zones.

Your package includes a base salary of circa £120,000 (with flexibility up to circa £150,000 for exceptional engineers), plus attractive equity as an early hire. Benefits include 27 days holiday (plus bank holidays) and a standard pension, with a bonus structure coming soon.

Career growth opportunities are available for both IC and leadership tracks.

If you're excited about building the infrastructure that will power the future of human-AI interaction, apply today. All applicants will receive a response.

To learn more, please contact Marc Powell at Techire AI for a confidential discussion.

Ready to own the complete ML stack while reshaping how Generative AI transforms advertising?

Join this start-up as Founding ML Engineer building a Generative AI based advertising platform.

You’ll contribute to a sophisticated solution that leverages consumer interaction data and generative models to create personalized ads across multiple modalities - from language to image and video generation.

Despite being only 5 people strong, they're already generating revenue and have secured seed funding from prestigious investors including a16z. Now they're ready to scale and tackle even more complex challenges with their AI-based system.

In this role, you'll be solving complex technical challenges such as implementing RLHF to enhance system intelligence, advanced prompting and fine-tuning of LLMs, and improving user efficiency. You'll have significant autonomy, owning the entire pipeline and keeping up to date with the state of the art to maintain top-level performance.

The role combines research, development, and experimentation, with approximately 20-30% focused on research, 40% on building and training models, and 30-40% on experimentation, performance improvement and deployments. While primarily focused on language/text, the team works across multiple modalities, so an interest in multimodal applications would be valuable.

Requirements:

• 2+ years industry experience
• Strong expertise in NLP and LLMs (prompting and fine-tuning)
• Experience with RLHF implementations
• Solid foundations in Deep Learning
• Proven track record in building production ML systems

Experience with recommendation systems or ad tech would be beneficial but isn't essential.

Your package includes a base salary of up to $225k (negotiable based on experience), plus a 10% bonus, competitive equity, healthcare benefits, unlimited holiday and more. Total compensation will be adjusted relative to your level of experience.

The role is based on-site in San Francisco, with visa sponsorship available for exceptional candidates.

The interview process is straightforward:

1. Initial call with recruiter (30 mins)
2. Conversation with Founder (30 mins)
3. Technical assessment or on-site interview
4. Team meeting (can be combined with stage 3)

If you're excited about applying cutting-edge AI to transform the $600B advertising industry, we'd love to hear from you. All applicants will receive a response.

Are you looking for a Research role where you can shape the future of multi-lingual AI?

You'll be joining a cutting-edge tech company focused on developing the next generation of foundation models with a emphasis on targeted multi-linguality and cross-lingual AI. Their mission is to create AI systems that don't just translate languages, but truly understand and bridge cultural nuances.

The company has already made significant strides in the field, despite being a new player, rivaling some of the established companies building similar products. They working on securing substantial funding and attracting top talent from leading AI research institutions. With a solid runway and a researcher at the helm of the company, you'll have the time and resources to conduct thorough research and drive innovation alongside a team of brilliant minds.

You'll come on board as they expand their research capabilities in multi-lingual AI, training their solution on many different languages. You'll work closely with lead researchers, explore the latest approaches in natural language processing and generation, applying cutting-edge papers and running experiments. The team implements papers published within weeks, demonstrating commitment to staying at the forefront of AI research. They are also publishing their own papers.

Your impact will be immediate and substantial. You'll be tackling complex challenges in areas such as:

• Developing AI that understands cultural nuances and idiomatic expressions across languages
• Creating systems that transcend simple translation to achieve genuine cross-cultural understanding
• Pushing the boundaries of what's possible in natural language processing and generation

You should have solid research experience, ideally through a PhD, fresh PhDs are considered or those with industry experience in research-intensive roles. Proficiency in implementing research papers and writing high-quality code is essential. Publications as a first author in relevant fields are highly desirable.

Key skills and experience we're looking for include:

• Expertise in natural language processing and computational linguistics
• Strong background in machine learning, particularly with Transformers, LLMs, and multimodal models
• Experience with large-scale ML systems, GPUs, and distributed computing
• Familiarity with PyTorch, Kubernetes, and high-performance computing environments

This is a hybrid position in Seoul. They offer a flexible work environment that encourages innovation and collaboration. If you're not based there but would like to relocate, visa support and relocation support can be provided. Remote is considered for exceptional candidate. 

The salary range for this position starts from $150,000, upwards depending on experience. As an early employee, you'll also receive generous stock. 

If you're passionate about building foundational models to rival the big players like OpenAI, apply today for immediate consideration. Everyone will receive a response.

Are you ready to shape the cognitive abilities of tomorrow’s robots?

As a Research Engineer focused on Reasoning, you'll work to empower robots with human-like decision-making capabilities, enabling them to intelligently navigate real-world complexities.

Your initial goal will be to dive deep into research, drawing inspiration from cutting-edge papers like "Open X-Embodiment: Robotic Learning Datasets and RT-X Models." and “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”. Over the first six months, you'll be responsible for researching, applying, and building a sophisticated reasoning system.

This is a Staff level role, so you will have a PhD plus at least a few years in the industry leading technical projects.

You'll also be tasked with providing a strategic vision for scaling this new reasoning system, sharing your findings through industry publications, and leading the deployment of your ideas at a larger scale. As the project evolves, you'll lead a growing team to support the increased scope of activity.

You should be proficient in working with Transformers, including Large Vision Models, LLMs, and Multimodal Models. A background in NLP is expected, and experience with Symbolic reasoning is a plus, but a deep understanding of Deep Learning and Transformers is essential.

Autonomy and self-sufficiency are critical for this role. You'll define data requirements, set up environments, gather data, run simulations, analyse results, and showcase your work. Reproducing research papers in RT-X or VLA will be a regular part of your role, and you'll need to overcome the challenge of applying these concepts to real robots.

In addition to research, you’ll need to consider the practical challenges of deployment, especially as the team grows and more infrastructure hires are made to support your work.

This hybrid role is based in London, requiring 3 days in the office. Relocation and visa support are provided.

The base salary is £150,000 - £200,000, depending on experience, plus stock options.

If you're passionate about pushing the boundaries of AI and robotics, apply today for immediate consideration.

Are you looking for a Research role where you can leverage the latest approaches in generative modelling for vision?

Not only that, you'll join a researcher led business. The Founder and Head of AI both are Computer Vision PhD's and research backgrounds, so they have created a true research culture. You'll have the time to go deep on relevant research, present your own ideas and make a huge impact. 

You’ll be joining a startup focused on building tools that accelerate model development, including leveraging generative vision to create synthetic datasets for complex scenarios. Novel view synthesis, 3D reconstruction, image generation will be some of the topics the team are working on.

Founded in 2023, the company has already gained strong traction, securing $2.5 million in funding, acquiring a major customer, and receiving a research grant. With over two years of runway, you’ll have the time to thoroughly research and innovate alongside the team!

You’ll come on board as the team completes their MVP build, but there’s still significant research ahead. You’ll work closely with the founding researcher to explore the latest approaches in Vision generation, applying cutting-edge papers and running experiments. The team implements papers published within the last two weeks, showing their commitment to staying at the forefront of state-of-the-art research. They also have plans to publish their own papers in the future.

Your impact will be immediate, shaping the future of the product. You'll collaborate closely with the founding researcher to expand the team’s research capacity and solve unique, complex challenges. While the role is primarily focused on research and experimentation for now, as the company grows, it will evolve into an Applied Research role. You’ll have end-to-end involvement from research through to production.

You should have solid research experience, either through a PhD or research-intensive roles. You’ll be skilled at implementing research papers and writing high-quality code. Being the first author on vision generation papers is essential. Experience in computer vision and generative modelling in diffusion models, GANs, LVM/Transformers. Familiarity with 3D neural rendering technologies like Gaussian splatting or NeRFs would be great.

This is a fully remote position, and you can be based anywhere however, the tech team primarily works in European time zones, with a one-hour overlap with Pacific time twice a week.

The salary for this position is approximately $120,000 (negotiable), and as an early employee, you’ll also receive equity.

If you have research experience in vision generation and have been the first author on relevant papers, apply today for immediate consideration. Everyone will get a response.

Are you interested in tackling key challenges in large (NLG) foundation models with a neuro-symbolic approach?

You’ll join as Senior Research Scientist, with a strong team taking a different approach to developing scalable, accurate and reliable AI.

Presently many companies developing large language generation models have developed solutions using only a transformer-based approach, which can solve challenges quickly but are mostly generic models, often sacrificing accuracy, creating hallucinations, bias and lacking trustworthiness.

This company is looking to change that. They are combining the latest advances in Deep Learning approaches, Transformers/LLMs with knowledge & graph based approaches and ML / Reinforcement learning.

Your role as a Senior Research Scientist will be to work on research in neuro-symbolic AI, knowledge and reasoning. You'll work closely with other researchers to drive breakthroughs in research, applying unique new approaches, solve various challenges and inspire the team to do the same. You’ll be designing & building architectures that can scale on extremely large amounts of data for the two main components of their system.

As the tech is still not super mature, you’ll have the freedom to innovate and experiment, making a true impact on the future of this product.

You’ll need a strong background in either Natural Language, with recent experience in Natural Language Generation (NLG) and LLMs at scale, including fine-tuning and/or pre-training. Or you'll have a background in reasoning (ideally symbolic reasoning). If you’ve built AI systems using GNNs and reinforcement learning or have a background in neuro-symbolic AI, you’re someone we’d love to consider.

As this is Senior level we're looking for circa 5 years in the industry, however, if you have a PhD with relevant research, we’d consider fewer years in industry roles. Research publications or patents are expected, especially those of relevance in Neuro-symbolic ai, reasoning, natural language generation or knowledge-based approaches. This company plans to start publishing papers in the future. 

You'll be in good hands as your team is made up of great minds from various well-known companies developing AI systems – applied scientists, research engineers and software engineers. The founder was the creator of the technology behind one of the most widely used conversational AI’s in the world. This is a fast-moving start-up, so it would be beneficial if you’ve worked for start-ups (or a start-up-style environment prior).

The culture here is exceptional, if you value trust, and collaboration, and are a great communicator and innovator at heart, you’ll fit right in. 

You’ll be financially remunerated with a base salary between £90,000-£120,000 (negotiable, dependent on experience). As part of your package, you’ll receive stock options, 25 days of vacation (plus public holidays), pension and more.

Whilst remote is considered for industry-leading candidates, the preference is for someone to be based out of their central London office at least 1 day per week. Visa sponsorship and relocation support can be provided if you are planning to relocate.

Apply today, or contact Marc Powell at techire ai, for immediate consideration. All candidates will get a response.

Are you interested in joining one of Europe’s most innovative (and ambitious) Deep Tech Product companies?

You’ll join as Principal/Staff Research Scientist, with a strong team taking a different approach to developing scalable, accurate and reliable AI.

Presently many companies developing large language generation models have developed solutions which can solve challenges quickly but are mostly generic models, often sacrificing accuracy, creating hallucinations, bias and lacking trustworthiness.

This company is looking to change that. They are combining the latest advances in Deep Learning approaches, Transformers, LLMs and more traditional approaches such as neural networks such as GNNs and ML / Reinforcement learning.

Your role as a Principal / Staff Research Scientist will be to drive the research direction, breakthroughs in research unique new approaches, solve various challenges and inspire the team to do the same. You’ll be designing & building architectures that can scale on extremely large amounts of data for the two main components of their system.

Your work will bring the best of Deep Learning, Machine Learning and Symbolic models to solve one of the biggest challenges in Natural Language Generation. 

You’ll have the freedom to innovate and experiment with various approaches combining the SOTA and traditional approaches. You’ll be a product visionary and you’ll see your research be applied to this product

You’ll need a strong background in Natural Language, with recent experience in Natural Language Generation (NLG) and LLMs at scale, including fine-tuning and/or pre-training. If you’ve built AI systems using GNNs, Reinforcement learning or have a background in Symbolic AI, you’re someone we’d love to consider.

As this is Principal or Staff level, we’re ideally looking for at least 5-10+ years in the industry, if you have a PhD with relevant research, we’d consider fewer years in industry roles. This seniority is important, as you'll be inspiring and coaching some of the team. Whilst your immediate impact will be as an IC, there is potential opportunities to leadership, if you wish to take that route, or you can continue to excel as an IC here too!

Research publications or patents are expected, especially those of relevance to Natural language. This company plans to publish papers and you’ll play a key part in this.

Desirable experience includes Knowledge graphs, Graph ML, GNNs or developed foundational models from scratch.

Your team is made up of great minds from various well-known companies developing AI systems – applied scientists, research engineers and software engineers. The founder was the creator of the technology behind one of the most widely used conversational AI’s in the world. This is a fast-moving start-up, so it would be beneficial if you’ve worked for start-ups (or a start-up-style environment prior).

The culture here is exceptional, if you value trust, and collaboration, and are a great communicator and innovator at heart, you’ll fit right in. 

You’ll be financially remunerated with a base salary between $190,000 - $260,000 (negotiable). As part of your package, you’ll receive stock options, 25 days of vacation (plus public holidays), pension and more.

Whilst remote is considered for industry-leading candidates, the preference is for someone to be based out of their central London office at least 1 day per week. Visa sponsorship and relocation support can be provided if you are planning to relocate.

For transparency, the interview process is as follows:

1 – Intro call with the recruiter (Marc Powell at techire ai).

2 – Technical discussion.

3 – Mixed interview session and meeting the team – topics on research (some prior prep required, you’ll discuss a research paper during the interview), coding and values.

4 – Meeting with the Founder.

We aim to complete the interview process within a few weeks, we can move faster if you have availability.

Click apply today, or contact Marc Powell at techire ai, for immediate consideration. All candidates will get a response.

Do you want to join a research team working on cutting-edge foundational multimodal models?

You’ll be an experienced Researcher / Scientist who wants to shape the future of multimodal generative AI. You’ll need to have worked on complex AI models and have relevant research publications in either:

Vision generation - video, image, 3d, LVMs

Audio generation - audio, speech / TTS, music

Text generation – NLG, LLMs

Your background will have a strong research focus on generative models including researching, building and training. You'll also solve challenges by researching techniques to improve inference/performance such as model tuning, optimisation and more. As you’d expect, strong Python experience is essential along with Deep Learning frameworks such as PyTorch or Tensorflow.

The team you’ll be joining are pushing the boundaries and working on challenging research which is shaping the future of their product, which is changing the game and accelerating the advancements of multimodal AI. You’ll get to see your models shipped in to production to many millions of users.

You’ll be in good hands, joining an experienced team who have worked at some of the most notable companies in the space – OpenAI, NVIDIA, Meta to name a few. They’re very well funded by top VC’s but are also growing their revenue numbers daily.

Your package will include competitive base salaries $220k-$300k, plus strong equity package, healthcare (health,dental,vision), unlimited PTO and other benefits.

Preference for you to be based in San Francisco, however, remote can be considered for exceptional candidates.

Apply today for immediate consideration by applying or contacting Marc Powell @ techire ai.

Seamless cross-lingual communication is the next big frontier. This well-funded AI startup is pioneering speech-to-speech translation to break down language barriers.

You'll join an elite team developing cutting-edge algorithms to enable fluent conversations no matter the language. 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 strong R&D team of experts in this field.

The role:

• Lead cutting-edge R&D advancing core speech algorithms, cross-lingual processing 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.
• Own the full model lifecycle from data to cloud deployment
• Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency
• Lead a team of top scientists in this field 

You'll have:

• 4+ years of industry experience developing and implementing speech-to-speech language translation models or similar
• Proven background contributing to well-known research publications and/or products in these areas
• MS/PhD in CS, ML or a relevant technical field
• Proven skills in PyTorch, TensorFlow, GANs, diffusion models, and modern DL
• Familiarity with cloud tech and production environments

What you’ll get in return:

• Highly competitive pay package (up to $500K+ depending on experience)
• Stock, Unlimited PTO, and other benefits
• Autonomy to lead pioneering research redefining cross-lingual AI

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.