• Develop machine learning models related to equipment telemetry • Deploy ML/DL Models into cloud-based access for internal use • Design data pipelines to ingest, clean, and analyze sensor, operational, and service data • Continuously refine models based on real-world equipment performance • Design and build supportive AI tools for the service, operations, and engineering team • Translate engineering formulas, design rules, and constraints into reliable, user-friendly digital tools • Collaborate with engineers to ensure accuracy, usability, and maintainability • Leverage Agentic AI to operationalize the AI project development • Assist the AI/ML team in developing the AI digital twin • Provide knowledge and understanding of ML behaviors relative to AI digital twins • Support additional data and digital tool initiatives as required by the business • Evaluate new opportunities where advanced analytics can improve products, services, or operations • Contribute to long-term data strategy at ThermalWorks • Lead a team of junior developers in additional projects.

Role Description We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data and machine learning organization. In this role, you will design, build, and scale intelligent systems that power our product, operations, and analytics. You will work closely with data engineers, product managers, platform engineers, and business stakeholders to develop production-grade machine learning models and AI-driven solutions on top of our Databricks Lakehouse platform. A successful candidate is both an innovative ML practitioner and a strong hands-on engineer who can take projects from concept to production. You are comfortable navigating ambiguity, working with incomplete data, leading technical discussions, and implementing systems that are robust, observable, and maintainable. You thrive in collaborative environments and enjoy building scalable ML foundations that accelerate development across teams. What You’ll Do - Model Development & Applied Machine Learning - Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP, anomaly detection, and generative AI use cases. - Apply modern ML techniques, experimentation frameworks, and statistical best practices to ensure model accuracy, fairness, and reliability. - Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation (RAG) systems when applicable. - Data Engineering & Feature Development - Design and implement scalable features using Delta Lake, Spark, and Databricks Feature Store. - Partner with data engineering teams to understand data availability, quality, lineage, and ingestion patterns. - Build automated, reproducible pipelines that support training, validation, and model refresh cycles. - MLOps & Productionization - Own end-to-end ML lifecycle using Databricks workflows, MLflow, feature stores, and model registries. - Develop CI/CD and automated model deployment pipelines that ensure performance and reliability. - Implement monitoring for drift, model degradation, data quality, and performance regressions. - AI Systems Architecture - Design modular, scalable ML architectures that integrate with APIs, data warehouses, microservices, and downstream applications. - Evaluate when to apply classical ML, deep learning, or LLM-driven approaches based on business constraints. - Experimentation & Evaluation - Develop A/B tests, offline/online evaluation frameworks, and statistical validation strategies. - Analyze model results with clarity and communicate insights to technical and non-technical partners. - Cross-Functional Collaboration - Work closely with product, engineering, and business teams to identify ML opportunities, refine requirements, and deliver measurable outcomes. - Participate in architecture reviews, technical planning sessions, and roadmap discussions. - Document work in a way that is scalable and easy for future engineers to adopt. - Continuous Learning - Stay up to date on emerging ML frameworks, LLM advancements, Databricks capabilities, and scalable architecture patterns. - Explore new tools, libraries, and platforms that can enhance model performance or development efficiency. Qualifications - 7+ years of experience in machine learning, applied AI, or similar engineering roles. - Strong expertise building ML models with Python, Spark, Databricks, and MLflow. - Deep knowledge of modern ML techniques: supervised/unsupervised models, deep learning, transformers, embeddings, vector stores, and LLM-based systems. - Solid understanding of software engineering principles: version control, testing, CI/CD, observability, and modular architecture. - Experience deploying ML models to production with reliable pipelines and monitoring. - Strong ability to explain technical concepts to non-technical stakeholders. - Experience working in agile product environments. - Proficiency with SQL and working with large-scale distributed datasets. Nice to Have - Experience with Databricks Model Serving, Unity Catalog, Feature Store, and Delta Live Tables. - Experience building LLM-powered applications, RAG systems, fine-tuning, or model distillation. - Familiarity with cloud infrastructure (AWS and Azure), Kubernetes, and container orchestration. - Background in statistics, computer science, machine learning engineering, or related fields. - Strong interest in building foundational ML platforms, tools, and frameworks for internal teams. - Experience with real-time ML systems, streaming data, or event-driven architectures. Benefits - Competitive Compensation & Total Rewards Incentives - Comprehensive Healthcare Coverage - Multiple 401(k) Savings Plan Options - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) - Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave - Disability, Life, and Long Term Care Insurance - Tuition Reimbursement, Student Loan Repayment and Training & Certification Support - Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) - Caregiver and Mental Health Support Services

Role Description Light & Wonder is seeking a highly skilled and results-driven Senior Process Excellence Engineer to serve as a dual-role leader — driving Lean transformation across the full enterprise value stream while simultaneously coordinating and managing AI-enabled continuous improvement initiatives. This is a senior individual contributor and project leadership role that will partner with Operations, Finance, HR, Accounting, Procurement, and Technology teams to eliminate waste, accelerate throughput, and embed a culture of sustainable operational excellence. The ideal candidate brings deep expertise in Lean methodology, facilitation, and Value Stream Mapping, combined with a working knowledge of agentic AI tools and intelligent automation. They will have a proven track record of leading large-scale, cross-functional deployments from strategy through sustainment — and will be comfortable operating across organizational boundaries at all levels of the business. Qualifications - Bachelor’s or Master’s degree preferred. - Lean certification and/or Six Sigma Black Belt (LSSBB) certification required; Master Black Belt (MBB) designation a strong plus. - Minimum of 5–10 years of progressive experience in process excellence, continuous improvement, or operational transformation roles. - Demonstrated experience leading large-scale, enterprise-wide Lean deployments involving multiple business functions, geographies, and hundreds of stakeholders. - Proven track record of leading Lean transformation beyond Operations — must include documented results in transactional and administrative functions such as Finance, HR, Accounting, and Procurement. - Experience leading and developing cross-functional teams in a matrixed organization, including influencing without direct authority. - Experience managing a project portfolio simultaneously, balancing resources, priorities, and executive stakeholder expectations. - Hands-on experience with AI tools such as large language models, agentic automation frameworks, or machine learning operations (MLOps) platforms. - Experience implementing Lean management systems (e.g., Obeya, real-time KPI dashboards, AI-augmented daily management). - Experience with ERP systems (SAP, Oracle, or equivalent) and understanding of system-related process improvement constraints. - Strategic mindset and strong business acumen, with the ability to identify priority value opportunities by leveraging exceptional problem-solving and decision-making skills. Requirements - This is a Remote position with frequent travel to support Lean transformation and AI Sprints. - The targeted pay range for this role is $140,000-$150,000. The total compensation package for this position may also include applicable incentive compensation, such as an annual performance bonus. Actual compensation packages are based on several factors that may include, but are not limited to skill set, depth of experience, specific work geography, as well as internal equity and alignment with market data. Benefits - Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Company Description Light & Wonder and its affiliates (collectively, “L&W”) are engaged in highly regulated gaming and lottery businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation, or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all its employees to meet those requirements that are necessary to fulfill their individual roles. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Role Description As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you’ll do: - Develop comprehensive systems and frameworks for AI applications and products. - Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. - Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. - Contribute to the creation of robust data pipelines for model evolution and production systems. - Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. - Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. - Actively participate in a team that exercises principled, agile-like development practices. - Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. - Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. - Guide junior AI engineers on AI/ML and industry best practices and methodologies. - Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. - Support and participate in meetings with external stakeholders. Qualifications - Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. - Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master’s/PhD or AI Engineering certifications. Requirements - At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. - Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. - Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. - Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. - 3 or more years working within Agile-like teams and environments. Benefits - Medical, vision, and dental coverage with low employee premiums. - Voluntary benefit offerings, including pet insurance for paw parents. - Life and disability insurance. - Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service. - Wellness incentives with a wide range of mental well-being resources for you and your dependents. - Generous paid time off to reenergize. - Tuition assistance for both undergraduate and graduate degrees. - Employee recognition program to celebrate anniversaries, team accomplishments, and more. - Commuter perks and free convenient on-site parking. - Subsidized on-campus cafes and engaging on-site activities. - Access to a complementary fitness & well-being center offering both in-person and virtual workouts. Equal Employment Opportunity/Affirmative Action Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at careers@premera.com or via phone at 425-918-4785. Salary Information The salary range for this role is posted below; we generally target up to and around the midpoint of the range. - National Salary Range: $118,900.00 - $202,100.00 - National Plus Salary Range: $135,600.00 - $230,500.00 We’re happy to discuss compensation further during the interview because we believe that open communication leads to better outcomes for all.