Machine Learning Research Scientist

IXO Inc.; France; Remote; EUR 127,000 - 171,000; Full time

Job summary

IXO Inc. is seeking a remote ML research contributor to write and solve research problems, develop reference results, and critique experimental designs with transparent reasoning. You will construct practical ML cases and identify subtle errors in evaluation and interpretation.

The role emphasizes strong Python skills and experience with PyTorch or JAX, plus a minimum of 10 hours per week. Ideal candidates hold a Master's or PhD in CS, statistics, mathematics, or related fields, with at least 3

Qualifications

• Master's or PhD in computer science, statistics, mathematics or a related subject.
• At least 3 years of full-time ML research after the degree.
• Hands-on experiment design, ablations or model evaluation.
• Strong Python and a framework such as PyTorch or JAX, plus at least 10 hours of weekly availability.
• Practical ML research is required; deployment-only engineering, data engineering and annotation do not substitute for it.

Responsibilities

• Write and solve research problems involving experiments, ablations, evaluation and model failures.
• Construct realistic research cases drawn from practical ML work.
• Develop reference answers with transparent step-by-step reasoning.
• Identify subtle errors in experimental design, interpretation and model assessment.

Skills

Python

PyTorch

JAX

Experiment design

Ablations

Model evaluation

Weekly availability

Education

Master's or PhD in CS/Statistics/Math

Tools

PyTorch

JAX

Job description

Write and solve research problems involving experiments, ablations, evaluation and model failures.

What you will do

• Construct realistic research cases drawn from practical ML work.
• Develop reference answers with transparent step-by-step reasoning.
• Identify subtle errors in experimental design, interpretation and model assessment.

Required background

• A master's or doctorate in computer science, statistics, mathematics or a related subject.
• At least 3 years of full-time ML research after the degree; postdoctoral work counts, doctoral-study years do not.
• Hands-on experiment design, ablations or model evaluation.
• Strong Python and a framework such as PyTorch or JAX, plus at least 10 hours of weekly availability.
• Practical ML research is required; deployment-only engineering, data engineering and annotation do not substitute for it.

Preferred background

• Publications at venues such as NeurIPS, ICML, ICLR, ACL or CVPR.
• Industry-lab or university-research-group experience.
• Clear written explanations of research results.

Location and eligibility

• Remote work; country restrictions are not stated.

Availability

• Remote asynchronous work, minimum 10 hours per week.

Pay and engagement

• $121/hr
• USD hourly compensation. The applicable rate and agreed work scope are confirmed before work begins.