Machine Learning Engineer II

Key Responsibilities

• Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
• Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
• Optimize machine learning models for performance, scalability, and efficiency.
• Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
• Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
• Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
• Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real-world business applications.
• Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
• Proficiency in message queue technologies and services like Kafka, Pulsar, or RabbitMQ and experience working with real-time data streaming.
• Experience working with containerization technologies such as Docker and Kubernetes.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced and dynamic environment.

Nice to Have

• Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Experience with version control systems, such as Git.

Salary Range

Salary Range: 105,500 - 132,200

Benefits

• Medical, dental, vision, legal, and accidental death and dismemberment insurance, as well as FSA/HSA (depending on enrolled medical plan).
• Short-term disability, long-term disability, and life insurance.
• 401(k) plan.
• 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year.