Python Machine Learning Engineer

Overview

Own end-to-end development of machine learning solutions for business needs.

About the hiring company

Based in San Francisco, California, the hiring company is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. The hiring company supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview

We’re looking for a

ML Developer

to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.

What does day-to-day look like

Own

end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.

Translate business objectives

into robust ML architectures that accurately capture business logic and context.

Collaborate cross-functionally

with Product, Engineering, and Business stakeholders to define problem statements and success metrics.

Evaluate and optimize

models for performance, scalability, and accuracy using state-of-the-art techniques.

Stay current

with advancements in AI/ML research and apply relevant innovations to improve outcomes

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
• 4+ years of hands-on DS/ML development experience,
• Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
• Expertise in

Python

• and core libraries (Pandas, NumPy, Scikit-learn, etc.).
• Ability to understand and apply different models to real-world use cases
• Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.
• Proven ability to design scalable, production-grade ML systems.

Preferred Qualifications

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
• Experience with cloud data platforms (Databricks, AWS, etc.)
• Hands-on experience with PySpark and Databricks Platform
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Bonus

• Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
• Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals

Perks of Freelancing With the hiring company

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

Commitments Required

: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)

Employment type

: Contractor assignment (no medical/paid leave)

Duration of contract

: 3 month; [expected start date is next week]

Location

: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins)

Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins