R&D AI Software Engineer, Pathway

End-to-End Machine Learning Engineer / RAG and LLM

Salary not provided

+ Employee Stock Option Plan + Possible bonuses if working on client projects

Python

Git

Mid and Senior level

Paris

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

Real-time data analysis

Be an early applicant

Real-time data analysis

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechData Analysis

Be an early applicant

Salary not provided

+ Employee Stock Option Plan + Possible bonuses if working on client projects

Python

Git

Mid and Senior level

Paris

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechData Analysis

Company mission

To help software engineers to focus on developing code logic, without having to worry about the way data changes over time.

Job

Company

Role

Who you are

A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses
Passionate about delivering high-quality code and solutions that work
Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up
Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)
Experienced with model monitoring, git, build systems, and CI/CD
Respectful of others
Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ..
Fluent in English

Desirable

Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard
Showing a code portfolio
PhD in Computer Science
Authoring a paper at major Machine Learning conference
You like playing/tinkering with new tools in the LLM stack
You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps

What the job involves

We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data
If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you!
Help design experimental end-to-end ML/AI pipelines
Contribute to addressing new use cases, beyond state of the art
Improve/adapt AI pipelines for production, working directly with client data (often live data streams)
Invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines
Design benchmark tasks and perform experiments
Build unit tests and implement model monitoring
Contribute high-quality production code to our developer frameworks, used by thousands of developers
Help to pre-process data sets for LLM training
The results of your work will play a crucial role in the success of both our developer offering and client delivery

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: January 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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