The Role:

Our client is on a mission to enhance user experiences through cutting-edge transportation solutions. Data and Machine Learning play a pivotal role in their products and strategic decisions. We are seeking a passionate Software Engineer skilled in Machine Learning to join our team. You will focus on developing robust machine learning models to optimize user interactions for both customers and stakeholders. This role offers an opportunity to work in a dynamic environment, collaborating with interdisciplinary teams to innovate and drive impactful solutions.

Responsibilities:

• Collaborate closely with Machine Learning Engineers, Data Scientists, Software Engineers, and Product Managers to deliver advanced systems that drive business and user impact.
• Translate business requirements into technical solutions, leveraging both new development and existing components.
• Stay abreast of the latest advancements in machine learning and natural language processing, integrating new technologies as needed.
• Participate in code reviews, uphold best practices in ML engineering, and maintain comprehensive documentation for models and processes.
• Contribute to architectural decisions and technology roadmap development based on business needs.

Experience:

• Bachelor’s, Master’s, or PhD in Computer Science or related field, with expertise in distributed systems and machine learning.
• Strong proficiency in Python, Golang, or similar languages.
• Excellent communication skills and a collaborative mindset.
• Deep understanding of Machine Learning fundamentals, including supervised learning, large language models, and reinforcement learning.
• Experience with popular ML software libraries (e.g., scikit-learn, pandas), deep learning frameworks (e.g., PyTorch, Tensorflow), and cloud services (AWS, Azure, GCP) is desirable.

Bonus Qualifications:

• Familiarity with data munging tools (SQL, Spark) and containerization with Kubernetes.

Benefits:

• Competitive medical, dental, and vision insurance plans.
• Mental health and family building benefits.
• Generous paid time off and parental leave policies.
• 401(k) plan and commuter benefits.
• Opportunity to participate in exclusive company programs.

Equal Opportunity Employer:

We are committed to creating an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Location and Schedule:

This role offers a hybrid work schedule, with three days per week in-office and flexibility to work remotely for up to four weeks annually.

Salary:

The expected base salary range for this position varies based on qualifications, experience, and location. Additional details can be discussed during the interview process.