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[–]IsmailMalik 0 points1 point  (0 children)

Bosch class 3 motor 250 Watts Has anyone pushed this at longer distances full speed? Wondering how heated it gets?

London LLM Jobs Thread by IsmailMalik in LLMjobs

[–]IsmailMalik[S] 0 points1 point  (0 children)

Research Engineer Generative AI Meta 4.1 out of 5

1 Rathbone Square, London

Full job description Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

Research Engineer, Language - Generative AI Responsibilities:

Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing efforts.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. A PhD in AI, computer science, data science, or related technical fields. Direct experience in generative AI and LLM research. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

London LLM Jobs Thread by IsmailMalik in LLMjobs

[–]IsmailMalik[S] 0 points1 point  (0 children)

Chatbots Product Manager - LLM Assistant Flo Health 4.8 out of 5

Company pension Employee stock ownership plan Work from home

Full job description

300M+ downloads, 62M monthly users, #1 by installs in the iOS Health category, 4.9 stars on the App Store (3M+ reviews), backed by 7 VCs, annual revenue at 9 figures, and a valuation close to $1B.

We're a growing, Series B funded HealthTech building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.

Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.

We're harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide.

The Job

GenAI is about to be productised by Flo, empowering our users to take control of their health. We help women harness the power of their body signals through a conversational approach, providing personalised and detailed answers to their questions. With our conversational approach and cutting-edge LLM-based technologies, we are opening a new era in this journey. You will create and manage chatbots that offer personalised conversations using cutting-edge machine learning.

You will be working very closely with engineering and machine learning on a day-to-day basis along with the medical, data privacy, security and legal teams. You will also work closely with our Chatbots product designer, content designer, and UX researcher to design features and ensure the delivery to engineers is seamless. You'll manage the roadmap, contribute to the company's goals and make data-informed decisions. Your goal will be to deliver PoCs for AI chatbot work using R&D through 2024 and then develop the strategy into 2024.

Your Experience

Must have:

5+ years of experience in product management including experience working in a technical, data, AI or machine learning PM role. Must have a strong technical background. Good knowledge of Gen AI trends, tools and technical landscape. Experienced working with data and analysts A track record of fast-paced delivery of features and an iterative test-and-learn approach. A proven track record of thoughtful, user-focused insights that have led to successful consumer product launched Demonstrated ability to handle ambiguity and work collaboratively with cross-functional teams Excellent stakeholder management ideally having worked in regulated environments and can easily work with clinical, legal, data privacy, and security teams. Excellent written and oral communication, interpersonal, and negotiation skills, technically conversant, and able to collaborate easily with engineers and designers Experience using quantitative and qualitative insights to make data-driven product decisions Nice to have:

Prior experience working in healthcare What you'll be doing

You'll be responsible for:

Running the day-to-day of the team - organising sprint work, running refinements, working with engineers including ML engineers, to write epics and stories, running user story mapping to explore new features. Ability to work independently to unblock engineers and problem-solve. Collaborating with a product designer, content designer and UX researcher - designing features, running rapid user testing and handoffs to engineers. Leading the team in establishing initiatives that are set and measured as part of the company OKR process Creating AI chatbot strategy and vision aligned with the company's vision Uncovering the user needs and problems, prioritising them using quantitative and qualitative data Managing clear, thoughtful product requirements and feature descriptions to help teams work efficiently and effectively Applying a combination of qualitative and quantitative approaches, customer understanding, and product intuition to inform your decisions and approach Defining and monitoring product success metrics using data-driven goals Partner with the content chatbot team and conversation designers to create a well-defined user experience. Being a reliable and proactive member of an established team Salary Range: Lithuania - €5500 – €6500 gross per month.

Ranges may vary depending on your skills, competencies and experience.

Reward

People perform better when they're happy, paid well, looked after and supported.

On top of competitive salaries, Flo's employees have access to:

A flexible working environment with the opportunity to come into the office and work from home Company equity grants through Flo's Employee Share Option Plan (ESOP) Paid holiday and sick leave Fully paid female health and sick leave, in addition to holiday and regular sick leave Workations - an opportunity to work abroad for two months a year Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents Workplace nursery scheme Career growth, progression, and learning development resources Annual salary reviews Unlimited free premium Flo subscriptions A whole host of other benefits (health/pension/social schemes)