Senior Applied Scientist at Unlikely AI

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 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
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 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 LearningLarge Language ModelsNeurosymbolic AIKnowledge RepresentationLanguage GenerationComplex PlanningExplainable ArchitecturesHybrid ArchitecturesPrototypingDeployment

Questions & Answers

Common questions about this position

What is the salary for the Senior Applied Scientist position?

This information is not specified in the job description.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What skills are required for this Senior Applied Scientist role?

Required skills include deep learning expertise with 2+ years in language generation and Large Language Models, experience with Python and ML frameworks like PyTorch, HF Transformers, Tensorflow, JAX, deep knowledge of ML fundamentals, and cloud experience.

What is the company culture like at Unlikely AI?

The team consists of a world-class group of smart, collaborative people who are deeply motivated by challenge, move fast, support each other, and enjoy the work in a fast-paced environment.

What makes a strong candidate for this role?

Strong candidates have a track record as an independent contributor with end-to-end development experience deploying transformer models, enthusiasm to learn cutting-edge technologies, excellent communication skills with mentoring experience, and desirable skills like symbolic reasoning integration and startup experience.

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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