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.

 

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.

 

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.