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Added 1 min ago
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Machine Learning Senior Software Engineer
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- $121,400 to $218,600 USD / year
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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
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Added 12 mins ago
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Machine Learning Senior Software Engineer
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Lincoln, NE
- $121,400 to $218,600 USD / year
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…
Added 12 mins ago
Cloud Engineer
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Added 12 mins ago
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Added 12 mins ago
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Senior Software Engineer
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- $121,400 to $218,600 USD / year
As a Software Engineer Senior, you will be responsible for:
Added 12 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
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…with those teams, and design and build of enterprise security infrastructure remains with Information Security Architecture and Engineering. The Administrator does not set or self-attest…
Added 12 mins ago
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Cloud Engineer
Eliassen Group
Lincoln, NE
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 12 mins ago
EG
Databricks Data Engineer
Eliassen Group
Lincoln, NE
- $150,000 to $154,000 USD / year
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Added 46 mins ago
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MDE (Cyber, Network & Systems)
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Colorado Springs, CO
- $140,000 to $165,000 USD / year
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Akamai Technologies, Inc.

Machine Learning Senior Software Engineer

Lincoln, NE, United States

$121,400 to $218,600 USD / year

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Job details

Pay: $121,400 to $218,600 USD / year
Experience: Have 5 years of relevant experience and a Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field
Posting language: English
Posted: Aug 6, 2026

Original job description

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 hardwareconfigurations
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.

Equal Employment Opportunity Rights

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More about this job

Skills

Machine learning
ML
Regulatory compliance
Computer science
PyTorch
TensorFlow
Python
CI/CD

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