Machine Learning Researcher

Required Skills

Research
Deep Learning
Tensorflow
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

Job Description

Job Title: Machine Learning Researcher


Job Type: Contractor


Location: Remote


Job Summary:

Join our customer's team as a Machine Learning Researcher and help redefine what’s possible in artificial intelligence. You will drive innovative research, design advanced algorithms, and collaborate with top-tier engineering talent—all from the comfort of your chosen workspace. As part of micro1’s network, you’ll enjoy professional growth opportunities, a flexible work environment, and a suite of benefits designed for remote experts.


Key Responsibilities:

  1. Lead and conduct cutting-edge research in machine learning and artificial intelligence domains.
  2. Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as TensorFlow.
  3. Collaborate closely with engineering teams to translate research breakthroughs into scalable solutions.
  4. Publish research findings and contribute to the global AI/ML scholarly community.
  5. Continuously monitor industry advancements to keep the team at the forefront of technological innovation.
  6. Document methodologies, experiments, and results clearly for both technical and non-technical stakeholders.
  7. Communicate complex concepts effectively through both written and verbal channels.


Required Skills and Qualifications:

  1. Expertise in designing and executing research projects in AI and machine learning.
  2. In-depth experience with deep learning frameworks, especially TensorFlow.
  3. Strong proficiency in Python for prototyping and algorithm development.
  4. Exceptional written and verbal communication skills, with an emphasis on clear research documentation and collaborative teamwork.
  5. Proven track record of working independently and delivering impactful research outcomes in remote settings.
  6. Ability to evaluate, optimize, and implement advanced ML models for real-world applications.


Preferred Qualifications:

  1. Academic publications in top-tier AI/ML conferences or journals.
  2. Experience collaborating with cross-functional, international teams.
  3. Background in applying deep learning solutions to industry-specific problems.

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Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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