Job description

Machine Learning II Engineer – Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from evolving threats. Our mission is to empower organizations with secure and scalable technology that stands resilient in the face of cyber challenges. We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of full-stack data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged across the breadth of our solutions. It is expected that you will understand the business context and challenges as well as articulate practical solutions. You will also collaborate with other development teams and cross functional teams to provide features that bring value to our customers and help them secure their collaboration culture. AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning engineers at Mimecast are empowered to use AI development tools every day—to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work with clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI directly into the product, including LLM and agent-based patterns. Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core expectation of the job from day one. What You’ll Do: 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. Productionize 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, establish and champion best practices, and foster 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. Work independently with Product to conceptualize, research, and develop new features that drive business value. Communicate complex technical concepts clearly and effectively, including giving regular knowledge-sharing sessions to ML experts and engineers across teams. Collaborate with teammates throughout the product development organization, including product owners, User Interface/User Experience Designers, Quality Assurance Analysts, Technical Writers, and Customer Champions. 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. What You’ll Bring: 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. Demonstrate experience in architecting and deploying scalable generative AI services leveraging frameworks such as Langchain, Llamaindex, n8n, and springAI 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. What We Bring: 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! Our Hybrid Model: 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! 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. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. #LI-CS1 Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers mimecast.com. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Requirements

Must-haves

Machine Learning II Engineer – Incydr Product Development
AI-First Engineering at Mimecast
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.
Productionize 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, establish and champion best practices, and foster 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.
Work independently with Product to conceptualize, research, and develop new features that drive business value.
Communicate complex technical concepts clearly and effectively, including giving regular knowledge-sharing sessions to ML experts and engineers across teams.
Collaborate with teammates throughout the product development organization, including product owners, User Interface/User Experience Designers, Quality Assurance Analysts, Technical Writers, and Customer Champions.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaillmpythonjavakotlinaws

Platform: workday
Effort: long