Python Machine Learning Engineer

Future projects, not immediate vacancies. Check each network's country and experience requirements.

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing 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 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

Python

and core libraries (Pandas, NumPy, Scikit-learn, etc.).

Ability to

understand and apply different models

to real-world use cases

Strong understanding of

, 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 Turing:

Work in a fully remote environment.

Opportunity to work on cutting-edge AI projects with leading LLM companies.

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

Evaluation Process (approximately 75 mins) :

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

Compensation context

Compensation is not stated in the current feed. Confirm the rate and workload before accepting an assessment or project.

Task-based pay; confirm amount per accepted task