Enable job alerts via email!

Machine Learning Researcher

Entrepreneur First

Poland

Remote

PLN 180,000 - 240,000

Full time

Today
Be an early applicant

Job summary

A pioneering research organization is seeking a talented researcher to drive innovative projects in machine learning. You will have the autonomy to explore novel architectures and collaborate globally with top-tier conferences and experts. The ideal candidate is self-motivated, with a passion for high-impact research and a strong publication record. This fully remote position offers competitive compensation, equity options, and various perks including company retreats and comprehensive health benefits.

Benefits

Competitive salary + share of equity
Fully remote work
3-4 company retreats paid annually
Paid sick leave and flexible vacation
Comprehensive health insurance

Qualifications

  • Demonstrated background with first author publications in machine learning.
  • Experience working in applied research with high autonomy.
  • Comfortable in high-pressure environments with unpredictable timelines.

Responsibilities

  • Publish research in deep learning and modular architectures.
  • Design and build novel neural network models.
  • Collaborate with engineers and researchers to implement findings.

Skills

Novel research in machine learning
Excellent verbal and written communication skills
Self-motivation
Job description
The Role
  • Own and pursue novel research - building scalable, distributed models over uniquely decentralised and heterogeneous infrastructure
Responsibilities
  • Publish novel research in deep learning focusing on massive scale modular/composable architectures, verifiability, and continual learning
  • Research novel model architectures - design, build, test, and iterate over completely new ways of building neural networks
  • Publish & collaborate - write research papers targeting top-tier AI conferences such as NeurIPS, ICML, ICLR and collaborate with experts from universities and research institutes
  • Partner closely with research and production engineering teams to experiment and productionise the research

Must have

  • Demonstrated background with novel research in machine learning via first author publications
  • Comfortable working in an applied research environment with extremely high autonomy and unpredictable timelines
  • Highly self-motivated with excellent verbal and written communication skills

Preferred

  • Existing work in modular, highly distributed, or continual deep learning

Nice to have

  • Experience with cryptography applied to machine learning
  • Strong public presence
  • Competitive salary + share of equity and token pool
  • Fully remote work- we currently hire between the West Coast (PT) and Central Europe (CET) time zones
  • Visa sponsorship -available for those who would like to relocate to the US after being hired
  • 3-4x all expenses paid company retreats around the world, per year
  • Whatever equipment you need
  • Paid sick leave and flexible vacation
  • Company-sponsored health, vision, and dental insurance- including spouse/dependents [ only]
  • Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
  • Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
  • Communicate to be understood rather than pushing out information and expecting others to work to understand it.
  • Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of mediocrity & high performance

  • Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
  • Don’t quit - push to the final outcome, despite any barriers.
  • Be anti-fragile - balance short-term risk for long-term outcomes.
  • Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.