Engineering Manager, Machine Learning
WFA Digital Insight
The demand for machine learning specialists has skyrocketed, with a 25% increase in job postings over the last year. As companies like Sentry invest heavily in AI-powered solutions, the need for skilled engineering managers to lead these efforts has never been more pressing. With its strong reputation for innovation and hybrid work model, Sentry is an attractive option for professionals looking to make a real impact. Before applying, candidates should be prepared to showcase their technical expertise and strategic vision for machine learning engineering.
Job Description
About the Role
As the Engineering Manager, Machine Learning at Sentry, you will play a critical role in shaping the company's AI-powered solutions. You will lead a team of skilled machine learning engineers and collaborate closely with cross-functional teams to drive the development of innovative products. With a strong foundation in machine learning and a keen understanding of the industry landscape, you will be responsible for setting the technical direction for the team and making strategic decisions about the application of machine learning in Sentry's products.The machine learning team at Sentry is still in its early stages, but it has already made significant contributions to the company's product offerings. As the Engineering Manager, you will have the opportunity to build on this momentum and drive the team's growth and success. You will be responsible for fostering a culture of innovation and collaboration within the team and ensuring that the team's work is aligned with the company's overall goals and objectives.
Sentry's hybrid work model offers a unique blend of in-office and remote work, allowing you to collaborate closely with your team while also enjoying the flexibility of working from home. With a strong focus on work-life balance and employee well-being, Sentry is committed to creating a positive and supportive work environment.
What You Will Do
- Set the technical direction for the machine learning team and make strategic decisions about the application of machine learning in Sentry's products
- Lead a team of skilled machine learning engineers and provide guidance and support to help them achieve their goals
- Collaborate closely with cross-functional teams, including product, design, and engineering, to drive the development of innovative products
- Develop and implement machine learning models and algorithms to solve complex problems
- Work closely with the product team to identify opportunities for machine learning and develop solutions to meet customer needs
- Stay up-to-date with the latest developments in machine learning and make recommendations for how to apply these advancements to Sentry's products
- Define and track key performance metrics for the machine learning team and make data-driven decisions to optimize performance
- Foster a culture of innovation and collaboration within the team and ensure that the team's work is aligned with the company's overall goals and objectives
What We Are Looking For
- 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production
- 3+ years of engineering management experience, ideally leading machine learning, AI, or data-focused teams
- Familiarity with deploying and operating machine learning models at scale, including evaluation, monitoring, and iteration in production
- Strong judgment and technical expertise, with the ability to make sharp calls about which machine learning approaches fit each problem
- Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Bachelor's degree in Computer Science, Machine Learning, or a related field
Nice to Have
- Experience with cloud-based machine learning platforms, such as AWS SageMaker or Google Cloud AI Platform
- Familiarity with agile development methodologies and version control systems, such as Git
- Experience with data visualization tools, such as Tableau or Matplotlib
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement savings plan
- Flexible paid time off and vacation policy
- Remote work stipend and home office setup reimbursement
- Access to cutting-edge technologies and tools
- Opportunities for professional growth and development
How to Stand Out
- Be prepared to showcase your technical expertise and strategic vision for machine learning engineering
- Highlight your experience with machine learning frameworks and tools, such as TensorFlow or PyTorch
- Emphasize your ability to communicate complex technical concepts to non-technical stakeholders
- Be prepared to discuss your experience with agile development methodologies and version control systems
- Showcase your passion for innovation and collaboration, and highlight your experience working in a fast-paced and dynamic environment
- Don't be afraid to ask questions about the company culture and values, and be prepared to discuss how you can contribute to the team's success
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