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Assistant No Experience Machine Learning Jobs (NOW HIRING)

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Our ideal candidate has experience creating a working machine learning-powered project from the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Our ideal candidate has experience creating a working machine learning-powered project from the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... Experience with high-performance computing, multi-node, multi-GPU, distributed training.

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...

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As of Jul 4, 2026, the average hourly pay for assistant no experience machine learning in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.
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Machine Learning Engineer

Unity South APAC (SEA, ANZ, IND Subcont.)

Mountain View, CA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Unity South APAC is seeking a Machine Learning Engineer to join their Offline Infrastructure team. The role involves building and maintaining data pipelines, contributing to distributed training workflows, and ensuring the reliability and efficiency of machine learning systems.
Responsibilities:
• Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
• Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
• Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
• Improve reproducibility and reliability through dataset validation, monitoring, and testing
• Partner with ML engineers to support experimentation and model iteration
• Help optimize performance and efficiency across data processing and training systems
• Contribute to the evolution of our offline ML platform architecture as it scales
Qualifications:
Required:
• Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field
• Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)
• Experience with Python and working with data-intensive workloads
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
• Experience (academic or applied) with data pipelines, model training workflows, or large datasets
• Strong problem-solving skills and ability to translate research ideas into practical systems
• Interest in building scalable, reliable infrastructure for machine learning
Preferred:
• Experience with workflow orchestration systems (Airflow, Flyte, etc.)
• Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
• Publications or research in ML systems, distributed systems, or related areas
Company:
Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Founded in , the company is headquartered in Singapore, SG, , with a team of 5001-10000 employees. The company is currently Late Stage.

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