Machine Learning Engineering Lead

Teramind is a hybrid, global workforce building the next-generation Insider Risk Management and User Behavior Analytics platform.

Join our team of innovators who are redefining insider risk management through cutting-edge technology. More than 10,000 organizations across the globe have used Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.

As a global team, Teramind embraces an inclusive and flexible work environment and team culture. We win together, learn from each other, and respect each other while delivering best-in-class security solutions.

About the role

As the Machine Learning Engineering Lead at Teramind, you will be responsible for overseeing the development and implementation of robust machine learning models that drive our platform’s capabilities. This is a key leadership role where you will guide a talented team of ML engineers, foster innovation, and ensure best practices in machine learning lifecycle management are adhered to.

Your contributions will directly impact the effectiveness of our solutions in insider threat detection and user behavior analytics, allowing organizations to make informed decisions based on data-driven insights.

Your responsibilities:

• Lead and mentor a team of machine learning engineers, providing technical guidance and fostering a collaborative environment
• Design, implement, and oversee the entire ML lifecycle, from data preparation to model deployment and monitoring
• Collaborate with cross-functional teams to define project goals, communicate progress, and ensure alignment with business objectives
• Stay abreast of industry trends and advancements in ML and data science, integrating new technologies and methodologies as appropriate
• Drive continuous improvement in ML processes and practices, ensuring high standards of model performance, accuracy, and interpretability

Requirements

• 7+ years of experience in machine learning or data science roles, with at least 3 years in a leadership position
• Strong proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Proven track record of successfully deploying ML models into production environments
• Experience with cloud-based ML platforms (e.g., AWS Sagemaker, Google AI Platform) and MLops practices
• Solid understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
• Excellent leadership and team management skills with the ability to inspire and motivate team members
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• A degree in Computer Science, Engineering, Data Science, or a related field (Master’s or Ph.D. is a plus)

Benefits

This is a remote job. Work from anywhere! We're a global, distributed team looking for the finest talent. We've been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

At Teramind, we're a collaborative, forward-thinking team where new ideas come to life, experience is valued and talent is incubated.

• High-quality health benefits
• Retirement Plan with employer match
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Professional development budget
  

About our recruitment process
We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 4 interviews:

• Test task
• Intro-call
• Technical interview
• Final interview

All roles require reference and background checks
Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.