Staff Applied Scientist at Unlikely AI

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation
Demonstrable experience leading in an individual contributor capacity—setting technical direction, influencing others, and delivering high-impact work without direct management responsibilities
Experience mentoring and coaching colleagues, offering guidance on both technical and professional development
Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX
Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models
Deep knowledge of machine learning fundamentals and cloud experience
Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with
Excellent verbal and written communication skills with a proven track record of mentoring and coaching others
Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders
Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc
Desirable: Experience with symbolic reasoning engines and integration with neural networks
Desirable: Strong technical writing skills as evidenced by relevant publications or blogs
Desirable: Start-up experience
Desirable: Git/Github
Desirable: Proficiency working with cloud platforms for deploying hybrid AI systems

Responsibilities

Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems
Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning
Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment
Write high-quality, robust code that integrates neural and symbolic components
Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences
Analyse and inspect large-scale datasets to support neural training and symbolic extraction

Skills

Key technologies and capabilities for this role

Deep LearningNeurosymbolic AIMachine LearningReasoning SystemsComplex PlanningExplainable AILanguage GenerationHybrid ArchitecturesPrototypingDeploymentData AnalysisNeural TrainingSymbolic Extraction

Questions & Answers

Common questions about this position

What is the salary for this Staff Applied Scientist position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

The role requires deep learning expertise with 2+ years in language generation including Large Language Models and neurosymbolic integration, experience with Python and ML frameworks like PyTorch, HF Transformers, Tensorflow, JAX, and a track record in end-to-end development with transformer models.

What is the team and culture like at Unlikely AI?

You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge, move fast, support each other, and genuinely enjoy the ride.

What makes a strong candidate for this Staff Applied Scientist role?

Strong candidates have demonstrable experience leading as an individual contributor, setting technical direction and delivering high-impact work, plus experience mentoring colleagues on technical and professional development.

Unlikely AI

Develops neurosymbolic AI for automation

About Unlikely AI

Unlikely AI develops automated systems that aim to improve human well-being through advanced artificial intelligence. Their main product is a neurosymbolic platform that combines Large Language Models (LLMs) with symbolic and algorithmic methods, enhancing the accuracy and reliability of AI applications. This platform allows for more trustworthy and safe AI solutions, which is a key differentiator from other companies in the AI space. Unlikely AI serves a variety of clients across different industries, focusing on providing tailored AI solutions and consulting services. The company's goal is to create AI systems that are not only intelligent but also prioritize human flourishing by being accurate and dependable.

London, United KingdomHeadquarters

2018Year Founded

$20.9MTotal Funding

SEEDCompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Stock Options

Risks

Competition from other neurosymbolic AI startups threatens Unlikely AI's market position.

Rapid AI advancements may render Unlikely AI's technology obsolete without innovation.

Complexity in integrating neurosymbolic AI may lead to client dissatisfaction.

Differentiation

Unlikely AI combines LLMs with symbolic methods for enhanced AI accuracy and trust.

Founded by Alexa's creator, it leverages deep tech expertise for innovative AI solutions.

Focuses on neurosymbolic AI, setting it apart in the competitive AI landscape.

Upsides

Neurosymbolic AI is gaining traction, offering Unlikely AI a competitive edge.

Demand for explainable AI in regulated industries aligns with Unlikely AI's focus.

UK government funding for AI safety could benefit Unlikely AI's research efforts.

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