R&D AI Software Engineer EndtoEnd Machine Learning Engineer RAG and LLM

Work set-up: 
Full Remote
Contract: 
Salary: 
75 - 75K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field with strong grades in algorithms and machine learning., Hands-on experience with Python for machine learning and data science projects., Knowledge of model monitoring, version control, build systems, and CI/CD practices., Passion for high-quality coding, innovation, and staying updated with AI advancements..

Key responsibilities:

  • Design and implement end-to-end ML/AI pipelines for enterprise data.
  • Improve and adapt AI pipelines for production, working with live data streams.
  • Pre-process datasets and optimize AI model performance through various tweaks.
  • Contribute to high-quality production code and develop benchmarks and experiments.

Pathway logo
Pathway TPE https://www.pathway.com
11 - 50 Employees
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Job description

About Pathway

Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think.

The team is made up of AI luminaries. Pathways CTO, Jan Chorowski, coauthored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous worlds top scientists and competitive programmers, alongside seasoned Silicon Valley executives.

Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland.


The Opportunity

We are currently searching for 2 MLAI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize endtoend Machine Learning projects with enterprise data.

For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates.

If you would consider it would be fun to create a hybrid VectorGraph 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 preprocess datasets in a way which would boost LLM accuracy in inference & training this is the job for you!

You Will

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Curiosity
  • Communication
  • Problem Solving

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