Principal Machine Learning Engineer Job Description

Posted today

Principal Machine Learning Engineer

Mitek Systems, Inc. - New York, NY

Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.

At Mitek, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity. Very simply, we know that diversity is a foundational strength for our organization. A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind. Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.

We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek's offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.

What You Will Do (Core Responsibilities):

Provide technical guidance to the R&D team, and conduct research and development in computer vision and image processing techniques.
Research and develop computer models and algorithms for image analysis, pattern recognition, and other AI-driven computer vision applications.
Design and build large-scale datasets for training image analysis, pattern recognition, and other computer vision neural networks.
Collaborate with other teams, such as software development, product management, and data engineering, to ensure successful integration of computer vision solutions.
Test models by conducting in-house experiments, as well as collaborate with the external teams for outsourced testing and validation.
Optimize the selected models for various hardware (including edge devices), and develop cloud and server-based solutions for image analysis, voice recognition and other pattern recognition applications.
Develop prototypes for innovative computer vision solutions such as object detection, activity recognition, and scene understanding, and collaborate with cross-functional teams to bring them to the market.
Develop and implement research project plans, setting milestones and deadlines to ensure timely completion of R&D activities.
Report on R&D progress to senior management, providing updates on project status and key performance indicators.
Stay up-to-date with the latest advancements in computer vision, machine learning, and related fields to maintain a competitive edge and drive innovation.
Employer offers optional hybrid work from home within commuting distance to the office.

What You Will Need (Required Education, Knowledge, Skills, and Abilities):

Education Requirements:
PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
2 years of experience in machine learning, data science, artificial intelligence or a combination of these fields (to include any relevant job titles within these occupations).
In lieu of a PhD degree and 2 years of experience, employer will accept a Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field (coursework or academic research to include image identification or artificial intelligence) and 5 years of experience in machine learning, data science, artificial intelligence or a combination of these fields (to include any relevant job titles within these occupations).
Work Experience Requirements:
Two years of experience utilizing Agile Development methodologies (3 years for the applicants with a Master's degree); must include 2 years of experience leading Agile teams.
Two years of experience in: Python programming, using Tensorflow or Pytorch; and working with Linux, Docker, git and MongoDB.
Two years of experience in designing and training of neural network architectures, including Deep Convolutional Networks.
Two years of experience in deep learning model optimization for mobile devices, CPU (Central Processing Unit) inference and GPU (Graphics Processing Unit) inference.
Two years of experience managing a team of at least 4 engineers in machine learning or data science.
Two years of experience utilizing in Cloud computing: GCP (Google Cloud Platform), AWS (Amazon Web Services) or Azure.
Two years of experience utilizing any of the following MLOps (Machine Learning Operations) tools: DVC, Mlflow, ClearML, AirFlow or HuggingFace; must include two years of experience leading MLOps initiatives.
One year of experience conducting distributed training of deep learning models.
At least 5 scientific publications in the field of machine learning, data science or artificial intelligence published in peer-reviewed journals or conferences.
Any and all experience can be gained concurrently

$162,800 - $244,200 a year

Resume submission instructions:

Individuals interested in applying for the position must email resume with Job Ref. # DT-1226 to: [redacted]

We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all Mitekians is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.

Benefit offerings -may vary based on geographic location

Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics

Financial future: retirement/pension plan contributions, MTK stock plan participation

Income protection: life event & disability coverage

Paid time off: generous annual leave, company holidays, volunteer time off

Learning: e-learning license, tuition reimbursement, hackathons

Home office setup allowance

Additional/optional benefits: pet insurance, identity theft protection, legal assistance

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!