Senior Machine Learning Software Engineer

Akamai Technologies

Machine Learning Senior Software Engineer building model validation, optimization, and safety systems for Akamai’s distributed cloud platform. Developing secure inference pipelines, guardrails, and model evaluation frameworks.

Posted 8/6/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $121,400 - $218,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in model validation, optimization techniques, and safety systems for AI models, with a strong foundation in machine learning frameworks and practices. Proficient in building and maintaining production-level ML pipelines and ensuring compliance with safety standards.

Highest-signal resume keywords

Model ValidationQuantization TechniquesLarge Language ModelsPython ProgrammingModel Safety Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingFine-TuningInference OptimizationModel CompressionPerformance MeasurementContent FilteringAdversarial Robustness EvaluationPipeline DevelopmentModel Evaluation FrameworksPrompt Management

Tools & Technologies

PyTorchTensorFlowJAXCI/CD PracticesCloud Infrastructure

Industry Keywords

Machine LearningAI SafetyTransformer ArchitecturesMulti-Modal AICompliance Policies

Tech Stack

Tools & technologies

CloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop and maintain model validation and security scanning pipelines assessing models for quality, correctness, and vulnerabilities before deployment
Implement quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardware configurations
Build guardrail and content safety systems enforcing compliance policies and mitigating jailbreaking and prompt injection risks
Design model routing and prompt management infrastructure for intelligent request handling across model variants
Contribute to model evaluation frameworks measuring accuracy, performance, and safety metrics across the model lifecycle
Build and operate systems responsible for model validation, quantization, and safety across the Akamai Inference Cloud

Requirements

What you’ll need

5 years of relevant experience
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
Hands-on experience with PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization
Proficiency in GPTQ, AWQ, and GGUF model quantization techniques
Understanding of how model compression impacts accuracy and latency
Experience with large language models, transformer architectures, and multi-modal AI systems
Familiarity with model safety and responsible AI practices, including content filtering, red-teaming, or adversarial robustness evaluation
Proficiency in Python and experience building production data or ML pipelines
Experience with containerized deployments, CI/CD practices, and cloud infrastructure is suggested but not required

Benefits

Comp & perks

Flexible work from home, office, or both
Healthcare
401K savings plan
Company holidays
Vacation in the form of PTO
Sick time
Parental leave
Employee assistance program
Mental wellness support
Financial wellness support
Annual bonus or incentives
Equity awards
Employee Stock Purchase Plan (ESPP)
Opportunities to grow, flourish, and achieve great things