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You will be updated with latest job alerts via emailThis is a remote position.
The Principal ML Engineer will lead the development and deployment of machine learning (ML) models to support opensource intelligence (OSINT) gathering efforts. This individual will design and implement endtoend ML pipelines including data collection preprocessing feature engineering model training evaluation and deployment. They will collaborate with crossfunctional teams to understand business needs and translate them into effective ML solutions.
Key Responsibilities:
Design and implement endtoend ML pipelines for OSINT (OpenSource Intelligence) gathering.
Collaborate with security researchers developers and product managers to align ML solutions with business needs.
Research and evaluate new ML techniques and technologies to improve the accuracy and efficiency of OSINT gathering for organizations or brands.
Develop and maintain strong relationships with internal and external stakeholders including customers and partners.
Mentor and lead a team of ML engineers offering technical guidance and support.
Stay current with industry trends and best practices in ML and OSINT gathering.
Requirements:
Bachelor s or Master s degree in Computer Science Data Science or a related field.
5 years of experience in machine learning with a strong focus on opensource intelligence gathering.
Proficient in Python and related ML libraries (e.g. TensorFlow PyTorch scikitlearn).
Experience in data collection preprocessing and feature engineering techniques.
Strong problemsolving and communication skills.
Leadership and mentoring experience with a team of ML engineers is a plus.
Traits:
A quick thinker who takes ownership and pride in their work.
Committed to excellence and continuous improvement.
Enthusiastic with a strong sense of adventure and excitement.
Excellent analytical problemsolving and interpersonal skills.
Our benefits include:
Competitive Salary We offer a competitive salary that reflects your skills experience and contributions.
Health and Wellness Comprehensive health dental and vision insurance plans.
Paid Time Off Generous vacation days paid holidays and sick leave parental leave and family care leave options.
Professional Development Ongoing training and development programs opportunities for career growth and promotions reimbursement for professional certifications or advanced degrees.
WorkLife Balance Flexible work schedules remote work options or hybrid work environments support for a healthy worklife balance.
Employee Stock Ownership Plan (ESOP) Opportunity to participate in the company s success through equity ownership.
Additional Perks Companysponsored events team outings and volunteer opportunities.
Full Time