Jesse Allardice

AI Researcher

Sunnyvale, California, United States12 yrs 7 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in developing interactive world models.
  • Strong background in physics and machine learning.
  • Proven track record in AI research and data science.
Stackforce AI infers this person is a Machine Learning and AI Research expert with a strong foundation in Physics.

Contact

Skills

Core Skills

Machine LearningAi ResearchComputer VisionData SciencePhysicsRenewable Energy

Other Skills

Interactive World ModelsArchitecture DesignLarge-scale PretrainingData Mixture OptimizationInstruction TuningPost-trainingMultimodal Large Language ModelsImage UnderstandingVideo GenerationLarge Language ModelsSynthetic Data GenerationPyTorchDeepSpeedNatural Language ProcessingTransformer Models

About

I'm a AI Researcher with a strong academic background in Physics.

Experience

12 yrs 7 mos
Total Experience
2 yrs 5 mos
Average Tenure
3 mos
Current Experience

Odyssey

Member of Technical Staff

Feb 2026Present · 3 mos · Menlo Park, CA · Hybrid

  • Developing interactive world models through advances in architecture design, large-scale pretraining, data mixture optimization, instruction tuning, and post-training.
Interactive World ModelsArchitecture DesignLarge-scale PretrainingData Mixture OptimizationInstruction TuningPost-training+2

Apple

2 roles

Senior Machine Learning Researcher, Multimodal Foundation Models

Promoted

Jul 2022Feb 2026 · 3 yrs 7 mos

  • Researching Multimodal Large Language Models (MLLMs) models to solve novel tasks in image/video understanding and generation.
  • Improved the capabilities and performance of large-scale machine-learned computer vision for robotics applications in Apple-SPG.
Multimodal Large Language ModelsImage UnderstandingVideo GenerationComputer VisionMachine Learning

AI Resident

Jul 2021Jul 2022 · 1 yr

  • Trained Large Language Models (LLMs) for synthetic data generation during Apple’s highly anticipated first AI & ML residency program.
  • Scaled a T5 LLM training setup from 220M to 11B parameters with ZeRO-3 using PyTorch + DeepSpeed for a custom synthetic data generation model.
Large Language ModelsSynthetic Data GenerationPyTorchDeepSpeedMachine LearningAI Research

Upside saving

Machine Learning Research Engineer

Feb 2021Jul 2021 · 5 mos · London, England, United Kingdom

  • Developed natural language processing and Transformer based models to translate the language of “open banking” into more structured, usable data.
  • Set the groundwork for future data science projects at Upside, my work unlocked access to a new data insights market, valued at £1Bn globally.
Natural Language ProcessingTransformer ModelsOpen BankingMachine LearningData Science

Faculty

Data Science Fellow

Jan 2021Mar 2021 · 2 mos · London, England, United Kingdom

  • A competitive, intensive fellowship enabling STEM post-graduates to become highly-skilled data scientists and transition successfully into careers in artificial intelligence.
  • Topics covered: Supervised and Unsupervised Learning • Reinforcement Learning • Deep Neural Networks • NLP •AI safety • Software Engineering • Mathematics for Machine Learning • Deployment • Databases. Enhanced business skills such as presentation, communication, negotiation, and project management.
Supervised LearningUnsupervised LearningReinforcement LearningDeep Neural NetworksNLPAI Safety+6

Cambridge spark

Machine Learning Tutor

Oct 2020Mar 2021 · 5 mos · London, England, United Kingdom

  • Provided Data Science training to upskill analysts at FTSE 100 companies. This included the latest tools and techniques to equip individuals with the most relevant skills for industry needs.

Entrepreneur first

Founder in Residence

Sep 2020Dec 2020 · 3 mos · London, England, United Kingdom

  • Entrepreneur First is an international Talent Investor, which supports individuals to build technology companies. It has offices in seven locations: Toronto, London, Berlin, Paris, Singapore, Hong Kong and Bangalore.
  • EF have built over 200 companies, have over 2000 alumni worldwide, and our portfolio has a valuation of over $2 billion. EF's major exits to date include Magic Pony, led by Rob Bishop and Zehan Wang, which was acquired by Twitter for a reported $150 million only 18 months after the founders met on the EF programme.

University of cambridge

2 roles

Schmidt Data for Science Residency Programme

Promoted

Jul 2020Sep 2020 · 2 mos · Cambridge, England, United Kingdom

  • Participated in the first cohort of the Schmidt Data for Science Residency Programme at the University of Cambridge, through the Department of Computer Science and Technology, funded by the Schmidt Futures Foundation. This intensive 5-week course hosted by Cambridge Spark brings the participant up to speed with the latest in data processing, analysis and machine learning.
  • The programme - led by Professor Neil Lawrence, DeepMind Professor of Machine Learning - is designed to equip researchers in science disciplines outside computer science with the skills they need to use machine learning in their research.

PhD Researcher

Jan 2016Jan 2020 · 4 yrs · Cambridge, United Kingdom

  • My dissertation developed next-generation technologies in solar photovoltaics for sustainable renewable energy. This work is at the forefront of solar spectral management research, pursuing optimal harvesting of the Sun’s electromagnetic spectrum. I employed ultrafast laser spectroscopy techniques to probe photo-physics and computational models to aid in the development of advanced nanomaterial structures. This research has enabled significant progress towards higher efficiency photovoltaic energy harvesting in both the academic and commercial fields.

Institute for manufacturing (ifm), university of cambridge

Science Consultant, Development i-Teams Consultancy Program

Jan 2016Jan 2016 · 0 mo · Cambridge, United Kingdom

  • A multidisciplinary team investigating the need for using metal-organic frameworks to “Improving the storage of biogas” technology in a development context.
Solar PhotovoltaicsUltrafast Laser SpectroscopyComputational ModelsNanomaterialsPhysicsRenewable Energy

Cutec - cambridge university technology and enterprise club

Team Member (Science Consultant), Cambridge Bio-hackathon 2016

Jan 2016Jan 2016 · 0 mo · Cambridge, United Kingdom

  • Team member for the UK's first synthetic biology themed hackathon.
  • A multidisciplinary team investigating the feasibility of Graphene field effect transistors functionalized with peptide selective binding sites to measure oral health via immune response to bacteria (levels of Immunoglobulin A).

Oracle strategies ltd.

Head Intern

Jan 2015Jan 2015 · 0 mo · Cyberport, Hong Kong, Telegraph Bay, Cyberport Rd

  • Coordinating a team of interns to secure initial funding for an education online platform.

Victoria university of wellington

6 roles

Research Assistant, Nanomaterial Device Group

Jan 2014Jan 2015 · 1 yr

  • Investigating Schottky Barriers in SmSi2 junctions

Laboratory Demonstrator

Jan 2014Jan 2014 · 0 mo

Research Assistant, School of Mathematics, Statistics and Operations Research

Jan 2013Jan 2014 · 1 yr

  • Modelling of sand dune movement by approximation of Navier-Stokes equation with spectral methods

Tutor

Jan 2013Jan 2013 · 0 mo

  • Tutor for first-year Intro to Applied Physics

Research Assistant, School of Chemical and Physical Sciences

Jan 2012Jan 2013 · 1 yr

  • Confocal Raman spectroscopy investigation of Carbon Nanotube Field Effect Transistors

Test Marker

Jan 2012Jan 2012 · 0 mo

  • Marker for Physics 1A and 1B

Education

University of Cambridge

Doctor of Philosophy (PhD) — Physics

Jan 2016Jan 2020

Victoria University of Wellington

Bachelor of Science - BS with Honours — Physics

Jan 2014Jan 2014

Victoria University of Wellington

Bachelor of Science - BS — Mathematics and Physics

Jan 2011Jan 2013

University of Canterbury

STAR Mathematics — Mathematics

Jan 2010Jan 2010

Nayland College

NCEA (A Level Equivalent)

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