Machine Learning / AI Software Engineering Internship, Pathway
More information about location
Real-time data analysis
Be an early applicant
Real-time data analysis
21-100 employees
Be an early applicant
More information about location
21-100 employees
Company mission
To help software engineers to focus on developing code logic, without having to worry about the way data changes over time.
Role
Who you are
- You are expected to meet at least one of the following criteria:
- You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School
- You have published a research paper
- You have completed coding projects - ideally with a GitHub repository showcasing previous work
- You were an intern at a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA)
- You can get a warm recommendation from you university faculty member
- Have some experience in deep learning research, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply)
- Are interested in improving foundational architectures and creating new benchmarks
- Are experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow)
- Have a good understanding of GPU architecture, memory design, and communication
- Have a good understanding of graph algorithms
- Have some familiarity with model monitoring, git, build systems, and CI/CD
- Are respectful of others
- Are fluent in English
- If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us
What the job involves
- We are currently seeking Machine Learning/AI Software Engineering interns with a strong track record in research on machine learning models
- Support training of LLMs,
- Benchmark LLMs,
- Prepare and evaluate training datasets,
- Support the core Pathway Research Team
- The results of your work will play an important role in advancing the AI field
- Duration: 3-6 months
Application process
- Cover letter : It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that
- Preferable joining date: August 2025. The positions are open until filled – please apply immediately
Our take
Machine learning has immense implications for reporting when used on data held by a company, but despite its speed, accuracy and thoroughness it can't currently be applied to incoming data. Put simply, the infrastructure to make this possible is missing, and without this, it's impossible to analyse data in real-time.
Pathway seeks to fix this, providing a streaming data processing layer which is capable of transforming complex, raw events data streams in real-time, allowing enterprises to derive insights in real-time. Reducing latency by over 900x compared to traditional means of data cleansing and transformation, it is currently used in logistics operations by companies such as DB Schenker and La Poste but has applications in financial fraud detection, marketing and IoT usage tracking, among many others.
Founded by women, the company is something of a rarity in the male-dominated European deep tech space, and the Pathway's founders are something of a role model for female engineers. This has only strengthened the founders' resolve to succeed, and with an innovative product meeting a pressing business need, Pathway is poised to achieve this.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Nov 2024
$10m
SEED
Dec 2022
$4.5m
SEED
Total funding: $14.5m
Company benefits
- Intellectually stimulating work environment. Be a pioneer: you get to work with a new type of data processing framework
- Work in one of the hottest data/AI startups in France, with exciting career prospects
- Responsibilities and ability to make significant contribution to the company’ success
- Inclusive workplace culture
Company HQ
Clichy, France
Leadership
Zuzanna Stamirowska
(CEO)Previously Co-Chair of the Logistics and Supply Chain Working Group for AIOTI, a spin-off of the European Commission. Before that, they were a PhD Researcher at Université Panthéon-Sorbonne and a Senior Sales Manager for Sphere Research Labs.
Claire Nouet
(COO)Previously an Analyst at Veolia, a Parliamentary Assistant for the French National Assembly, and a Legal Assistant with Thales.
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