Are you passionate about solving fundamental challenges in Vision and multimodal AI understanding?

You should consider joining a pioneering European AI Agent company as a Research Engineer to help advance the theoretical foundations of how AI systems process and understand complex interfaces.Their mission is to break new ground in AI's ability to comprehend multimodal data from real-world interfaces. The next stage of their journey is to solve core scientific challenges in visual understanding and its relationship with underlying document structures.

The company has established strong research foundations in multimodal AI, and now seeks to achieve scientific breakthroughs in visual-linguistic understanding and structured data interpretation.

Key Research Areas:

• Develop novel architectures for computer vision and structured multimodal understanding
• Advance the theoretical foundations of representation spaces for AI Agents and action models
• Pioneer new multimodal approaches for the best results
• Push the boundaries of structure understanding

Requirements:

• PhD in Computer Science, Machine Learning, or related field or equal practical experience in industry plus a Masters.
• Deep theoretical understanding of Computer Vision and multimodal learning architectures
• Experience with visual language models (e.g., LLaVA or similar)
• Ability to lead independent research initiatives
• Experience in the whole research pipeline from research, experimentation, building & training models, improving performance etc.
  
  

Nice to have:

• Experience working on structured understanding, document understanding or similar
• Strong publications record in top-tier conferences (NeurIPS, ICML, ICLR, CVPR)
  
  

This role offers the opportunity to conduct groundbreaking research in multimodal AI understanding. You'll be investigating fundamental questions at the intersection of vision, language, and structured data interpretation, with the goal of achieving significant scientific breakthroughs.

The company values scientific innovation and provides an environment conducive to pursuing novel research directions. They offer competitive compensation of Tier 1 AI lab salaries, plus attractive equity options.

The position is remote in Europe, with some regular travel to meet with the team in Paris.

If you're excited about conducting pioneering research in computer vision and multimodal AI and want to contribute to the theoretical foundations of next-generation AI systems, this could be your ideal opportunity to make a lasting impact.

Interested in being part of this AI revolution? Apply today. All applicants will receive a response.

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 passionate about revolutionising how AI agents interact with real-world applications?

You should consider joining a pioneering European AI company as Research Engineer to help develop groundbreaking autonomous AI systems.

Their mission is to create agents capable of executing any task on any application or website from a simple prompt, by controlling interfaces just as humans do. The next stage of the journey is to build a world-class AI Lab.

In just one year, this innovative startup has made remarkable progress, developing a sophisticated agentic system from the ground up. They've engineered a custom agent operating system, implemented dynamic IP management and advanced authentication systems, and created a sophisticated decision-making engine that integrates up to 12 multimodal models, including proprietary models. Their extensive datasets now cover more than 7,000 apps and websites, with over 34,000 tasks and multiple data types.

Key Responsibilities:
* Enhance the accuracy and capabilities of the agent framework through sophisticated module integration
* Design and optimize memory and history components for improved agent performance
* Conduct post-training across various modalities
* Evaluate framework improvements using both internal data and public benchmarks
* Contribute to the development of proprietary models and decision-making policies
* Stay current with latest research and present findings to research and engineering teams

Requirements:
* Strong experience in model fine-tuning and post-training techniques
* Expertise in developing modular AI systems and component integration
* Experience working on agentic systems
* Experience with large-scale data processing and model training
* Strong Python skills and proficiency with modern ML frameworks

Nice to have:
* Background in synthetic data generation

The company values innovation balanced with practical application, focusing on creating AI technologies that deliver real-world impact. They offer competitive compensation of Tier 1 AI lab salaries, plus attractive equity options.

The position is remote in Europe, with some regular travel to meet with the team in Paris.

If you're excited about building the future of autonomous AI agents and want to work with cutting-edge technology at scale, this could be your ideal opportunity to make a lasting impact.

Interested in being part of this AI revolution? Apply today. All applicants will receive a response.

Are you passionate about solving fundamental challenges in reinforcement learning and multi-agent systems?

You should consider joining a pioneering European AI Agent company as a Research Scientist to help advance the theoretical foundations of how AI systems learn and make decisions in complex environments.

Your work will be instrumental in contributing to their AI's ability to understand and interact with real-world interfaces through reinforcement learning. They already have a product which performs significantly higher in human task benchmarks compared to competitors and they're only just getting started. Now they are building a world-class research team to achieve scientific breakthroughs in reinforcement learning approaches for autonomous systems.

Key Research Areas:

• Conduct novel reinforcement learning research for future publications
• Advance the theoretical foundations of AI agent architectures
• Pioneer new approaches to optimize learning pipelines
• Push the boundaries of state-of-the-art agent performance
• Investigate innovative solutions for agent decision-making

Requirements:

• PhD in Computer Science, Machine Learning, or related field
• Strong publication record in top-tier conferences (NeurIPS, ICML, ICLR)
• Deep theoretical understanding of reinforcement learning and multi-agent systems
• Research experience with large language models and their application in AI agents
• Ability to lead independent research initiatives

Nice to have:

• Experience with agent-based systems and autonomous decision-making
• Background in synthetic data generation for RL training

This role offers the opportunity to conduct groundbreaking research in reinforcement learning for AI agents. You'll be investigating fundamental questions at the intersection of RL, LLMs, and autonomous systems. The company values scientific innovation and will provide an environment conducive to pursuing novel research directions and publishing papers in the future.

They offer competitive compensation of Tier 1 AI lab salaries, plus attractive equity options. The position is remote in Europe, with some regular travel to meet with the team in Paris.

If you're excited about conducting pioneering research in reinforcement learning and want to contribute to the theoretical foundations of next-generation AI agents, this could be your ideal opportunity to make a lasting impact.

Interested in being part of this AI revolution? Apply today. All applicants will receive a response.

Ready to Pioneer the Next Frontier in AI Communication?

Imagine a world where interacting with AI is as natural as chatting with a friend. Our client, a groundbreaking startup, is turning this vision into reality by developing advanced AI systems that blend the power of language models with seamless voice and video integration. You’ll be working on the latest approaches in Conversational AI, Speech AI and Multimodal models.

This isn't just another AI company – they're redefining the landscape of human-machine interaction. Despite recent acquisition offers, the team remains committed to their long-term vision, believing in the transformative potential of their technology.

As a key player in this venture, you'll:

• Spearhead the creation of cutting-edge Conversational and multimodal AI systems
• Collaborate with top-tier LLM providers to push technological boundaries
• Assemble and lead a diverse team of AI visionaries
• Innovate in model efficiency, accuracy, and performance
• Craft advanced tools for AI evaluation and optimization
  
  

The company has already made waves with their initial prototype, garnering significant user engagement. Now, they're gearing up for the next phase – a revolutionary speech-to-speech AI system that promises to redefine conversational AI.

We're seeking candidates who are:

• Skilled in Speech AI. Ideally TTS or Speech-to-Speech. Candidates with SOTA Speech processing may also be considered
• Proven AI innovators with a history of impactful contributions
• Experienced in nurturing and guiding high-performance teams
• Well-versed in LLMs and generative AI technologies
• Relevant publications in the space
  
  

Recent PhD with specific research in Speech-to-Speech or Speech/Audio generation are also encouraged to apply.

Work Environment: While the position offers some remote flexibility within the US, occasional travel to Seattle for collaborative sessions is preferred.

Compensation: The company offer competitive salaries reflective of your expertise. The wider package includes attractive stock options and performance bonuses.

• Senior roles: $200,000 - $260,000+ base
• PhD and mid-level positions: $160,000 - $200,000 base

If you're excited about shaping the future of AI interaction and want to be at the forefront of voice technology innovation, we want to hear from you. Join a team dedicated to breaking new ground in the exciting world of multimodal AI.

Ready to take the leap? Reach out today to start your journey towards redefining AI communication.

We reply to everyone.

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 looking for the next position you take to combine true impact whilst utilising the latest Language generation technology?

Join this tech-for-good start-up as an ML Research Engineer, building the first foundation model in their domain, solving an already large and growing challenge across the world.

Alongside their foundation model and first-of-its-kind dataset, which is their B2B market, they also have a B2C/Consumer app, which currently has no competitors (yet). So far their solution has been well received by those in the industry and those who are looking to access this type of technology to help improve their lives and wellbeing.

You’ll work on unique technology with impact. Building proprietary tech from the group up and leveraging the latest language models (GPT-4o and LLaMa). You’ll solve challenges on their core models. Your work with have a direct impact on making their models smarter and language technology more natural. Their unique dataset is constantly collecting new data, so there will naturally be some data collection, curation and processing involved. Some model orchestration and optimisation is required and they have a strong partnership with OpenAI for this.

You’ll be pre-training (including continued pre-training) and fine-tuning LLMs, large ones too; up to 70 billion parameter scale models. Your previous experience must include at the very least fine-tuning LLMs, but if you have already done pre-training that would be desirable. The usual Python and PyTorch experience is expected, with Deep Learning experience in the language domain.

The role is made up of around 40% research and experimentation, 50% ML engineering including model building, training, fine-tuning, and pre-training and the remaining 10% will be focused on deployments and inference challenges.

Your research work will be on SOTA Deep Learning, LLMs / Transformers and novel approaches in reinforcement learning for alignment challenges. Multi-GPU training will be familiar to you when it comes to model training processes.

This start-up is moving fast, if you have experience in start-ups or start-up-style environments, you’ll fit right in.

This is a hybrid role, in London for 2-3 days per week. Relocation support can be provided if you’d like to move to London.

The total compensation will be somewhere in the region of £200,000 - £350,000 for the ML researcher. For an experienced ML Lead, it would be up to circa £500,000. Which will involve a mixture of base salary and stock options along with the usual benefits you’d expect.

Apply now for immediate consideration.