As Relyance AI’s Manager, Software Engineering (ML), you will lead and grow a team of talented ML engineers focused on developing cutting-edge NLP and machine learning solutions for information extraction and code analysis. You will be responsible for the team's strategy, execution, and delivery of high-impact AI features, ensuring alignment with company goals and fostering a culture of innovation and collaboration. You will also play a key role in shaping the technical direction of our AI initiatives and driving the adoption of best practices in machine learning engineering.

As a Manager, Software Engineering (ML), your role will include:

• Team Leadership and Management: Recruit, hire, onboard, mentor, and manage a team of ML engineers, fostering their professional growth and development. Conduct performance reviews, provide constructive feedback, and address any team issues.
• Strategic Planning: Collaborate with product management and other stakeholders to define the team's roadmap, set priorities, and ensure alignment with overall company objectives. Contribute to the long-term vision for Relyance AI's AI capabilities.
• Project Execution and Delivery: Oversee the design, development, and deployment of ML/NLP solutions, ensuring timely delivery of high-quality features. Facilitate effective communication and collaboration within the team and across departments.
• Technical Guidance and Mentorship: Provide technical guidance and mentorship to team members, promoting best practices in ML engineering, software development, and system architecture. Stay abreast of the latest advancements in ML/NLP and evaluate their potential application to our products.
• Process Improvement: Drive continuous improvement in the team's processes, workflows, and tools to enhance efficiency, productivity, and quality. Foster a data-driven culture, encouraging the use of metrics to track progress and measure impact.

This role could be a fit for you if you bring:

• 10+ years of experience in software engineering, with at least 3+ years in a management or team lead role, preferably in the ML/NLP domain.
• Proven track record of building and managing high-performing engineering teams, including experience in recruiting, hiring, and developing talent.
• Strong understanding of machine learning and natural language processing concepts, algorithms, and techniques.
• Excellent communication, collaboration, and interpersonal skills, with the ability to effectively influence and align stakeholders across different functions.
• Demonstrated ability to think strategically, solve complex problems, and make data-driven decisions.
• Experience in Agile development methodologies and a passion for continuous improvement.
• Proficiency in one or more programming languages (e.g., Python, Java, etc.) and cloud computing platforms (e.g., AWS, Azure, GCP).

Bonus points for:

• Advanced degree in Computer Science, Machine Learning, or a related field.
• Experience with information extraction, semantic parsing, and practical application of LLMs.
• Startup experience.
• Experience with privacy technologies.

Working at Relyance AI

At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.

Relyance AI is proud to be an equal-opportunity employer.

We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $150,000 to $230,000.