Experienced Full Stack Machine Learning Engineer – Web & Cloud Application Development
Join arenaflex's Core ML Team and Revolutionize the Future of Customer Support
At arenaflex, we're passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to create exceptional customer experiences. Our Core ML team is at the forefront of driving CSxAI (Customer Support x Artificial Intelligence) initiatives, leveraging Generative AI technologies to deliver intelligent, scalable, and personalized service experiences. We're seeking an experienced Full Stack Machine Learning Engineer to join our team and contribute to the development of cutting-edge AI models, ML services, and tools.
The Community You Will Join
arenaflex's Core ML team is a dynamic and innovative group of experts who are shaping the future of customer support. We're committed to investing in long-term innovation to solve complex problems and drive business impact. Our team operates at the state-of-the-art of AI practice, and we're dedicated to staying ahead of the curve. As a Full Stack Machine Learning Engineer, you'll be part of a collaborative and agile environment where you'll work closely with product managers, software engineers, and operation teams to brainstorm, design, and develop AI products and features from inception to production.
The Difference You Will Make
As a Full Stack Machine Learning Engineer, your expertise will be pivotal in developing AI-powered products that shape the future of the arenaflex customer experience. You'll drive and guide the applied science team to apply agile practices for data science, and partner with cross-functional teams to identify opportunities for business impact. Your contributions will have a direct impact on the development of AI models, ML services, and tools that will enhance the customer experience and drive business growth.
A Typical Day
As a Full Stack Machine Learning Engineer, your day will be filled with exciting challenges and opportunities. Here are some of the key responsibilities you'll undertake:
- Work with large-scale structured and unstructured data to explore, experiment, build, and continuously improve Machine Learning models and pipelines for arenaflex products, business, and operational use cases.
- Collaborate with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
- Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.
Your Expertise
To succeed in this role, you'll need to possess a strong foundation in Machine Learning and AI, as well as hands-on experience with various tools and technologies. Here are some of the key qualifications we're looking for:
- PhD in Computer Science, Mathematics, Statistics, or related technical field.
- 7+ years of industrial experience in building, testing, and shipping AI models and products from inception to production, including 1+ years of experience with GenAI.
- Deep knowledge and hands-on experience with Machine Learning best practices (e.g., training/serving skew minimization, A/B testing, feature engineering, feature/model selection), algorithms (e.g., neural networks/deep learning, optimization), and domains (e.g., NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
- Experience with AI technologies in customer support or chatbot-related applications.
- Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.
- Ability to absorb new concepts quickly and integrate them effectively into business processes.
Your Location
This position is US-Remote Eligible, and you'll have the flexibility to work from anywhere in the United States. However, you must live in a state where arenaflex has a registered entity. Please check our website for the up-to-date list of excluded states.
Career Growth Opportunities and Learning Benefits
At arenaflex, we're committed to investing in our employees' growth and development. As a Full Stack Machine Learning Engineer, you'll have access to:
- Opportunities to work on cutting-edge AI projects and contribute to the development of innovative products and features.
- Collaborative and agile environment where you'll work closely with cross-functional teams to drive business impact.
- Access to arenaflex's extensive training and development programs, including workshops, conferences, and online courses.
- Opportunities to mentor and guide junior engineers and contribute to the growth and development of the Core ML team.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values collaboration, creativity, and continuous learning. Our company culture is built on the principles of:
- Collaboration: We believe in working together as a team to drive business impact and achieve our goals.
- Innovation: We're committed to staying ahead of the curve and exploring new technologies and approaches to solve complex problems.
- Continuous Learning: We believe in investing in our employees' growth and development, and providing opportunities for learning and professional development.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including:
- Salary: We offer a competitive salary based on your experience and qualifications.
- Benefits: We provide a comprehensive benefits package, including health insurance, retirement savings, and paid time off.
- Perks: We offer a range of perks, including flexible work arrangements, professional development opportunities, and access to arenaflex's extensive training and development programs.
Apply Now
If you're a passionate and experienced Full Stack Machine Learning Engineer looking to join a dynamic and innovative team, we encourage you to apply now. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply for this job