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 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 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.

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

• Develop and maintain large-scale distributed machine learning systems using frameworks like TensorFlow, PyTorch, and Scikit-Learn • Build predictive models including churn prediction, user journey analysis, and sales forecasting using behavioral data • Work with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting techniques • Collaborate with business units to understand their ML needs • Optimize feature extraction, transformation, and selection while managing Feature Stores for reusability across ML pipelines • Strong focus on MLOps practices including model training, versioning, monitoring, and deployment using CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, and MLflow • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform while maintaining model observability and connecting outcomes to product and strategic goals

Role Description This role offers the opportunity to lead the development and deployment of advanced forecasting models that directly impact business planning, supply chain efficiency, and operational outcomes. You will own forecasting end-to-end—from model design and evaluation to production deployment and monitoring—while collaborating closely with business stakeholders, engineers, and the broader analytics team. The position emphasizes the use of rigorous evaluation, probabilistic modeling, and automated workflows to improve forecast accuracy and reliability. Ideal candidates thrive in a data-driven, fast-paced environment, enjoy solving complex problems, and are passionate about translating technical solutions into actionable business insights. Exposure to modern AI-assisted coding tools and agentic development workflows will accelerate the development of scalable, production-ready forecasting systems. - Design, develop, and maintain forecasting models across multiple horizons and business segments to improve accuracy and usability - Own end-to-end forecasting system lifecycle, including deployment, monitoring, refresh cadence, reliability, and iteration - Build and maintain evaluation infrastructure for forecasting, including backtesting, error analysis, uncertainty quantification, automated tests, and regression checks - Partner with stakeholders in operations, supply chain, inventory management, finance, and marketing to translate business needs into technical plans and measurable impact - Implement agentic workflows to automate repetitive forecasting tasks, ensuring reproducibility, human oversight, and measurable quality gates - Define success metrics tied to business outcomes and communicate assumptions, limitations, and risks to stakeholders - Continuously improve model performance, reliability, and stakeholder usability through iterative updates and monitoring Qualifications - 5+ years of professional experience in machine learning, applied data science, or forecasting, including deploying models into production or operational workflows - Strong expertise in time-series forecasting, feature engineering, evaluation/backtesting, and probabilistic modeling - Proficiency in Python and SQL, with the ability to write production-quality, testable software - Strong probability and statistics fundamentals, with experience communicating uncertainty in practical terms - Demonstrated ability to collaborate effectively with cross-functional and non-technical stakeholders - Preferred: PhD or equivalent experience in a quantitative discipline, experience with hierarchical/probabilistic forecasting, evaluation infrastructure, AI-assisted or agentic development workflows, and integrating forecasts with optimization or decision science Benefits - Competitive salary range of $160,000 – $210,000 plus annual profit award or bonus eligibility - Comprehensive healthcare coverage including medical, dental, and vision - Retirement savings plans (401(k) with pre-tax and Roth options) - Paid time off, educational assistance, and student loan repayment programs - Short- and long-term disability, life/AD&D insurance, and flexible spending accounts - Exposure to cutting-edge AI and ML workflows, and a collaborative, data-driven work culture - Opportunities for career growth, mentorship, and working on high-impact forecasting systems Company Description