Member of Technical Staff, Machine Learning, Artificial Intelligence

TTEC

Member of Technical Staff developing machine learning components for production systems. Building and improving ML components with a focus on deployment and iteration.

Posted 7/10/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong foundations in Machine Learning and modern Neural Architectures, with hands-on experience in training, fine-tuning, and deploying ML models. Proficient in writing production-quality code and building data pipelines under real production constraints.

Highest-signal resume keywords

Machine LearningNeural ArchitecturesPythonPyTorchGPU

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNeural ArchitecturesModel TrainingModel Fine-TuningModel Deployment

Soft Skills

CuriosityCoachabilityOwnershipAdaptabilityBias Toward Shipping

Tools & Technologies

JAXProduction-Quality CodeData PipelinesReal-World DataSynthetic Data

Industry Keywords

Artificial IntelligenceModel EvaluationModel DebuggingPerformance ProblemsProduction Constraints

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

medical insurance
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Savings Plan Options
PTO