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Machine Learning Researcher / Engineer (Foundational Models) Job Opening In Paris – Now Hiring Pathway


Job description

About Pathway

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. 

Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works.

Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence.

We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. 

The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models.

Pathway is headquartered in Palo Alto, California.


The Opportunity

This is an R&D position in attention-based models.

We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.

This is an extremely ambitious foundational project.

There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.

You Will

  • perform (distributed) model training.
  • help improve/adapt model architectures based on experiment results.
  • design new tasks and experiments.
  • optionally: oversee activities of team members involved in data preparation.

The results of your work will play a crucial role in the success of the project.

Requirements

Cover letter

It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.

You are expected to meet at least one of the following criteria:

  1. You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.

  2. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's.
  3. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
  4. You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School.

You Are

  • A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply).
  • Interested in improving foundational architectures and creating new benchmarks.
  • 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.
  • Respectful of others
  • Fluent in English

Bonus Points

  • Knowledge of approaches used in distributed training.
  • Familiarity with Triton
  • Successful track-record in algorithms & data science contests.
  • Showing a code portfolio.

Why You Should Apply

  • Join an intellectually stimulating work environment.
  • Be a pioneer: you get to work with a new type of Live AI challenges around long sequences and changing data.
  • Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.

Benefits

  • Type of contract: Full-time, permanent
  • Preferable joining date: Immediate.

    The positions are open until filled – please apply immediately.
  • Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan.
  • Location: Remote work.

    Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland.

    Candidates based anywhere in the EU, UK, United States, and Canada will be considered.

If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Required Skill Profession

Computer Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Pathway adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

What Is the Average Salary Range for Machine Learning Researcher / Engineer (Foundational Models) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Paris. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Researcher / Engineer (Foundational Models)?

Key qualifications for Machine Learning Researcher / Engineer (Foundational Models) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Researcher / Engineer (Foundational Models) Job Success

Pathway interview tips for Machine Learning Researcher / Engineer (Foundational Models)

Here are some tips to help you prepare for and ace your Machine Learning Researcher / Engineer (Foundational Models) job interview:

Before the Interview:

Research: Learn about the Pathway's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Researcher / Engineer (Foundational Models) interview at Pathway, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Pathway's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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