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🌎Machine Learning Researcher (MSc. or PhD), Remote- Contract

  • Remote-friendly · fits your timezone
  • Posted today · via Himalayas
Summary shown in Indonesian — English version coming soon.

Full Description

Role TItle: Machine Learning Researcher (MSc. or PhD) Location: Global, fully remote Job Type: Contract (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. Role TItle: Machine Learning Researcher (MSc. or PhD) Location: Global, fully remote Job Type: Contract (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow. Required Skills: Machine Learning What You’ll Work On: Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Required Qualifications: A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python and coding agents. Process: Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure: Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Start Timeline & Availability: We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding. Originally posted on Himalayas

Why This Role?

Anda bisa memilih waktu dan hari kerja sesuai keinginan, termasuk akhir pekan

Key Responsibilities

  • Membangun dan memvalidasi model machine learning
  • Mengimplementasikan komponen model dan data pipelines
  • Membangun workflow programatik yang dapat direproduksi dengan Python
  • Mengoptimasi kinerja memory dan throughput
  • Menguji implementasi untuk memastikan kebenaran dan kinerja

Requirements

  • Memiliki gelar master atau PhD di bidang Computer Science, Machine Learning, atau bidang terkait
  • Pengalaman profesional atau penelitian dalam machine learning
  • Profesional dalam Python dan coding agents

Required Skills

machine learningpythonmodel developmentperformance optimizationnumerical computing

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from HimalayasShow more

Original description from Himalayas

Role TItle: Machine Learning Researcher (MSc. or PhD) Location: Global, fully remote Job Type: Contract (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. Role TItle: Machine Learning Researcher (MSc. or PhD) Location: Global, fully remote Job Type: Contract (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow. Required Skills: Machine Learning What You’ll Work On: Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Required Qualifications: A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python and coding agents. Process: Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure: Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Start Timeline & Availability: We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding. Originally posted on Himalayas

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Remote-friendly · fits your timezone
Source
Salary
Job Type
full time
Location
Remote · Open worldwide
Seniority
mid
PostedNewNew & verified
Oct 27, 2026

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