Machine Learning Engineer II

About the role

Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from evolving threats. As a Machine Learning Engineer II, you will play a crucial role in developing and maintaining state-of-the-art machine learning models for Incydr, our Insider Risk Management product.

Responsibilities

• Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput.
• Train, evaluate, and fine-tune models using best practices in model selection, validation, and performance optimization.
• Provide recommendations and strategies to manage scalability, tuning, and other configurations within the data infrastructure.
• Stay up-to-date with the latest advancements in ML/AI and proactively introduce innovative ideas and concepts from current research.
• Design and implement robust, end-to-end data and ML pipelines capable of feeding real-time data products.
• Source, clean, and perform feature engineering on raw data using a variety of data tools and frameworks.
• Promote and deploy ML models, ensuring seamless integration with existing systems.
• Monitor deployed models for efficacy, throughput, and latency, and iterate as needed to maintain optimal performance.
• Understand and influence software architecture decisions to enable the delivery and analysis of high-volume datasets.
• Lead and deliver ML projects from conception to production deployment, impacting thousands of customers.
• Mentor and guide junior team members, establishing and championing best practices, and fostering a culture of continuous learning and improvement.
• Collaborate with diverse teams including Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models.
• Own, shape, and prioritize your work with minimal oversight, demonstrating strong self-management and accountability.
• Proactively establish strong relationships with key stakeholders, quickly building trust and rapport across the organization.
• Take initiative to learn about new technologies and methodologies, sharing insights and fostering a culture of curiosity and growth.
• Foster a collaborative team environment where everyone shares ownership and responsibility, supports one another, and strives for excellence.
• Mentor and support junior staff, helping them grow their skills and confidence.
• Champion a supportive and inclusive team culture, encouraging open feedback and continuous improvement.

Requirements

• Hold a Ph.D. or Master’s degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges, or possess a Bachelor’s degree with at least six years of directly relevant experience.
• Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface.
• Exhibit a robust understanding of linear algebra, stochastic optimization, and probability theory, with a proven ability to translate these concepts into practical real-world solutions.
• Possess deep theoretical and practical knowledge of statistical inference and machine learning, with experience in forecasting, time series analysis, hypothesis testing, anomaly detection, classification, and regression.
• Have a track record of working with large-scale datasets (exceeding two million training examples) and effectively managing highly imbalanced data.
• Be proficient in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift for scalable data processing and deployment.
• Show capability in developing and maintaining infrastructure-as-code to automate and streamline the deployment of team-owned services.
• Be experienced in using version control systems to manage and collaborate on codebases efficiently.
• Have a strong understanding of handling sensitive data in accordance with Master Service Agreements and compliance requirements.
• Display exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy.
• Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments.
• Take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team.
• Thrive in a cooperative work environment, readily offering and seeking assistance to achieve shared goals.
• Adapt seamlessly to shifting priorities and demands in a fast-paced setting.
• Communicate effectively and comfortably with non-technical colleagues and stakeholders.
• Show a genuine passion for designing and delivering robust, high-quality solutions.
• Excel in both collaborative and independent work, with outstanding communication and teamwork abilities.
• Articulate complex technical concepts clearly to peers in both written and verbal formats.
• Effectively convey the business implications of technical decisions to non-technical audiences.

Qualifications

• Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core expectation of the job from day one.

Skills

• Advanced programming proficiency in Python, C++, Java, or Kotlin.
• Hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface.
• Robust understanding of linear algebra, stochastic optimization, and probability theory.
• Deep theoretical and practical knowledge of statistical inference and machine learning.
• Experience in forecasting, time series analysis, hypothesis testing, anomaly detection, classification, and regression.
• Proficiency in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift.
• Capability in developing and maintaining infrastructure-as-code to automate and streamline the deployment of team-owned services.
• Experience in using version control systems to manage and collaborate on codebases efficiently.
• A strong understanding of handling sensitive data in accordance with Master Service Agreements and compliance requirements.
• Exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy.
• An intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments.
• The ability to take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team.
• The ability to thrive in a cooperative work environment, readily offering and seeking assistance to achieve shared goals.
• The ability to adapt seamlessly to shifting priorities and demands in a fast-paced setting.
• The ability to communicate effectively and comfortably with non-technical colleagues and stakeholders.
• The ability to show a genuine passion for designing and delivering robust, high-quality solutions.
• The ability to excel in both collaborative and independent work, with outstanding communication and teamwork abilities.
• The ability to articulate complex technical concepts clearly to peers in both written and verbal formats.
• The ability to effectively convey the business implications of technical decisions to non-technical audiences.

Benefits

Join our Incydr Product Development team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and 'on the job' learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge!

Pay

The base salary range for this position is $124,000−$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations.

Schedule

We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community!