**Experienced Full Stack Machine Learning Software Engineer – Customer Service Technology Development at arenaflex**

At arenaflex, we're revolutionizing the way we interact with customers through cutting-edge technology and innovative solutions. Our client care AI group is a pioneering unit within the company, dedicated to harnessing the power of artificial intelligence (AI) to transform customer service pipelines and tooling. As a senior AI engineer, you'll join a talented team of machine learning engineers, researchers, and domain experts who are shaping the future of customer service.

• *About arenaflex**

arenaflex is a leading e-commerce company that's changing the way people shop for home goods and furniture. With a passion for innovation and customer satisfaction, we're committed to providing an exceptional shopping experience that's both convenient and enjoyable. Our customer service team is at the forefront of this mission, using AI-powered solutions to deliver personalized support and resolve issues efficiently.

• *Why Join Our Team?**

• We're at the forefront of AI innovation, with a focus on generative AI and machine learning.
• We're a fun and dynamic team that enjoys group activities, such as Boda Borg, kayaking, and mini golf.
• We're committed to professional growth and development, with opportunities for skill-building and career advancement.
• We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.

• *Job Summary**

We're seeking an experienced full stack machine learning software engineer to join our customer service technology development team. As a senior AI engineer, you'll collaborate with our team to design, develop, and deploy AI-powered solutions that enhance customer service and drive business results. Your expertise in machine learning, deep learning, and natural language processing will help us create innovative solutions that exceed customer expectations.

• *Key Responsibilities**

• Conduct research and experimentation with cutting-edge generative AI techniques and algorithms, assessing their performance on benchmark datasets and real-world scenarios.
• Collaborate with cross-functional teams to gather requirements, define project objectives, and identify opportunities for applying AI solutions.
• Lead exploratory data analysis to uncover insights into data patterns and relationships, and identify features for model training.
• Develop and deploy AI models in production environments, monitoring their performance to ensure reliability, adaptability, and accuracy.
• Optimize and calibrate AI systems for execution, flexibility, and efficiency, and implement procedures for model interpretability and fairness.
• Provide technical guidance and mentorship, fostering a culture of innovation and continuous improvement within the team.
• Stay up-to-date with the latest advancements in AI research and apply them to solve business problems.
• Collaborate with product managers, engineers, and partners to translate business requirements into technical solutions, and communicate the impact of AI projects on business outcomes.
• Improve our systems and platforms to increase efficiency, reduce costs, enhance security, and drive revenue growth, working closely with our product and operations teams.

• *Requirements**

• 4+ years of experience applying AI techniques to real-world problems, with a strong background in machine learning, deep learning, and natural language processing.
• Proficiency in multiple programming languages, including Python, Java, or C++, with expertise in Python preferred.
• Mastery of popular AI frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Keras, with the ability to design and execute complex models from scratch.
• Proven track record of delivering successful AI projects from conception to deployment in a production environment.
• Strong programming skills, including the ability to write clean, efficient, and scalable code, as well as knowledge of software design patterns and best practices.
• Experience with distributed computing systems for handling large-scale datasets and training models in parallel.
• Deep understanding of data engineering concepts and experience building flexible data pipelines for data collection, processing, and transformation.
• Familiarity with cloud computing platforms, preferably Google Cloud, with experience deploying and managing AI models in cloud environments.
• Strong analytical and problem-solving skills, with the ability to quickly grasp complex systems and propose innovative solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• *Preferred Qualifications**

• Experience working with social and non-social data sources.
• Familiarity with data visualization tools and techniques.
• Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
• Experience with containerization using Docker or Kubernetes.
• Familiarity with cloud-based data storage solutions, such as Bigtable or Cloud Storage.

• *Benefits and Perks**

• Comprehensive medical, dental, and vision insurance for you and your family.
• 401(k) matching and retirement savings plan.
• Paid time off, including vacation days, holidays, and sick leave.
• Flexible work arrangements, including remote work options and flexible hours.
• Professional development opportunities, including training programs, workshops, and conferences.
• Health and wellness initiatives, such as gym memberships, health drives, and mental health support.
• Education assistance, including tuition reimbursement and professional certification programs.
• Employee assistance programs (EAP), including counseling and support services.
• Parental leave, including paid time off for new parents.
• Recognition and rewards programs, including bonuses, stock options, and employee recognition awards.
• Opportunities for career growth and advancement within the company.
• Community involvement and volunteer programs.

• *How to Apply**

If you're passionate about AI, customer service, and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and portfolio (if applicable) through our online application system. We can't wait to hear from you!