GT Ginas Tech Jobs · Remote · US · Machine Learning Engineering $160,000–$190,000 12d ago

Aimlroles; San Francisco (CA); Remote; USD 140,000 - 230,000; Full time

Job summary

Aimlroles is looking for a Member of Technical Staff in Machine Learning and AI, a role that works entirely remotely from the United States. You will build core ML components, ship production-ready models, and iterate based on real-world feedback, with emphasis on latency, reliability, and cost in production environments.

You will collaborate with senior ML engineers and product teams to deploy robust ML-powered features, including data pipelines and inference systems, across data, training,

Qualifications

• Strong foundations in machine learning and modern neural architectures.

Responsibilities

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety

Skills

Machine Learning fundamentals

Neural architectures

Production-quality code

Python

PyTorch

JAX

Real-world ML systems

Data pipelines

Model deployment

Latency and reliability

Tools

JAX

PyTorch

Python

GPU

Job description

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

As a Member of Technical Staff, Machine Learning, you will build core ML components. The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. This position is 100% Remote.

Member of Technical Staff Responsibilities:

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety

Member of Technical Staff Outcomes:

• ML models in production meet expected accuracy, latency, and reliability targets.
• Production issues are identified quickly, debugged effectively, and root causes addressed.
• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
• Iterations on models and systems are driven by real-world signals and measurable improvements.

Member of Technical Staff Qualifications:

• Strong foundations in machine learning and modern neural architectures.
• Artificial Intelligence (AI) experience required.
• Some hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Curious, coachable, and eager to learn from real systems in production.
• Able to work through ambiguity with guidance and grow ownership over time.
• Bias toward shipping, iteration, and continuous improvement.
• Tech Stack: GPU, JAX, ML, Machine Learning, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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