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Akamai Technologies

engineering opportunity

Machine Learning Senior Software Engineer

You will develop and maintain model validation and security scanning pipelines to ensure quality and safety before deployment. Additionally, you will implement optimization techniques like quantization and pruning to improve inference latency and model performance.

Cambridge, Massachusetts, United StatesremoteFULL_TIME

Posted

About the role

What will you do at Akamai Technologies?

Do you want to shape how AI models are validated, optimized, and deployed at

global scale?

Are you passionate about building the systems that ensure AI models perform

reliably and responsibly in production

Join the Akamai Inference Cloud Team!

The Akamai Inference Cloud (AIC) team is part of Akamai's Cloud Technology

Group. We design and operate AI platforms enabling customers to run models with

unmatched performance, compliance, and economics. This team owns the end-to-end

model lifecyclefrom validation and security scanning through quantization,

optimization, and monitoring. We ensure every model meets rigorous standards for

quality, safety, and performance.

Partner with the best

As an ML Senior Software Engineer, you will build and operate systems

responsible for model validation, quantization, and safety across the AIC.

You'll develop pipelines that scan models for vulnerabilities, apply

quantization and optimization techniques, and build guardrails that enforce

safety and compliance policies. This role requires hands-on ML experience and

deep understanding of modern architectures, inference optimization, and

responsible

AI.

#AIC

As a Machine Learning Senior Software Engineer, you will be responsible for:

* Developing and maintaining model validation and security scanning pipelines

that assess models for quality, correctness, and vulnerabilities prior to

deployment

* Implementing quantization, pruning, and other optimization techniques to

reduce model footprint and improve inference latency across diverse hardware

configurations

* Building guardrail and content safety systems that enforce compliance

policies and mitigate risks such as jail breaking and prompt injection

* Designing model routing and prompt management infrastructure that supports

intelligent request handling across model variants

* Contributing to model evaluation frameworks that measure accuracy,

performance, and safety metrics across the model lifecycle

Do what you love

To be successful in this role you will:

* Have 5 years of relevant experience and a Bachelor's/Master's degree in

Computer Science, Machine Learning, or a related field

* Demonstrate hands-on experience with modern ML frameworks such as PyTorch,

TensorFlow, or JAX, including model training, fine-tuning, and inference

optimization

* Show proficiency in model quantization techniques (GPTQ, AWQ, GGUF) and an

understanding of how model compression impacts accuracy and latency

* Have experience working with large language models (LLMs), transformer

architectures, and multi-modal AI systems

* Demonstrate familiarity with model safety and responsible AI practices,

including content filtering, red-teaming, or adversarial robustness

evaluation

* Show proficiency in Python and experience building production data or ML

pipelines

* Have experience with containerized deployments, CI/CD practices, and cloud

infrastructure (not required, but suggested)

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles

that are helping us create the best workplace in the world. When our colleagues

said that flexible working was important to them, we listened. We also know

flexible working is important to many of the incredible people considering

joining Akamai. FlexBase, gives 95% of employees the choice to work from their

home, their office, or both (in the country advertised). This permanent

workplace flexibility program is consistent and fair globally, to help us find

incredible talent, virtually anywhere. We are happy to discuss working options

for this role and encourage you to speak with your recruiter in more detail when

you apply.

Learn [https://www.akamai.com/careers] what makes Akamai a great place to work

Connect with us on social and see what life at Akamai is like!

We power and protect life online, by solving the toughest challenges, together.

At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate

diversity of thought and we hold an unwavering belief that we can make a

meaningful difference. Our teams use their global perspectives to put customers

at the forefront of everything they do, so if you are people-centric, you'll

thrive here.

Working for you

At Akamai, we will provide you with opportunities to grow, flourish, and achieve

great things. Our benefit options are designed to meet your individual needs for

today and in the future. We provide benefits surrounding all aspects of your

life:

* Your health

* Your finances

* Your family

* Your time at work

* Your time pursuing other endeavors

Our benefit plan options are designed to meet your individual needs and budget,

both today and in the future.

About us

Akamai powers and protects life online. Leading companies worldwide choose

Akamai to build, deliver, and secure their digital experiences helping billions

of people live, work, and play every day. With the world's most distributed

compute platform from cloud to edge we make it easy for customers to develop and

run applications, while we keep experiences closer to users and threats farther

away.

Join us

Are you seeking an opportunity to make a real difference in a company with a

global reach and exciting services and clients? Come join us and grow with a

team of people who will energize and inspire you!

Akamai Technologies is an Affirmative Action, Equal Opportunity Employer that

values the strength that diversity brings to the workplace. All qualified

applicants will receive consideration for employment and will not be

discriminated against on the basis of gender, gender identity, sexual

orientation, race/ethnicity, protected veteran status, disability, or other

protected group status.

If no date is displayed, applications are being accepted on an ongoing basis

until the job is filled.

Compensation

Akamai is committed to fair and equitable compensation practices. For US based

candidates only - the base salary for this position ranges from $121,400 -

$218,600/year; a candidate’s salary is determined by various factors including,

but not limited to, relevant work experience, skills, certifications and

location.

Compensation

for candidates outside the US will vary. The compensation

package may also include incentive compensation opportunities in the form of

annual bonus or incentives, equity awards and an Employee Stock Purchase Plan

(ESPP). Akamai provides industry-leading benefits including healthcare, 401K

savings plan, company holidays, vacation (in the form of PTO), sick time, family

friendly benefits including parental leave and an employee assistance program

including a focus on mental and financial wellness; Eligibility requirements

apply.

Which skills does this role require?

Machine LearningPythonPyTorchTensorFlowJAXModel QuantizationLLMsTransformer ArchitecturesInference OptimizationModel SafetyData PipelinesCI/CDCloud InfrastructureContent FilteringAdversarial RobustnessModel EvaluationSoftware EngineeringAI ModelsModel ValidationQuantizationGPTQAWQGGUFMulti-modal AIRed-teamingModel LifecycleSecurity ScanningLatency ReductionPrompt ManagementModel RoutingComplianceAkamai Inference CloudDistributed Compute

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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