About Lvt
LVT is on a mission to make the world safer and more secure through rapidly deployable security hardware that runs on our proprietary SaaS platform. Our enterprise-grade safety and security ecosystem makes it easy to secure essentially any physical environment through intelligent automation and actionable insights. As an industry leader in the IoT space, our systems are deployed in every state and adopted by Fortune 500 enterprise companies who share this vision.
About This Role
As a Staff Machine Learning Engineer, you will play a critical role on a small team of engineers that drive new technology development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring, helping department leads identify suitable problems for ML, and selecting appropriate machine learning models for our business needs. Your recommendations will greatly influence design decisions that add significant value to the company, allowing for impactful contributions in ML and other software engineering areas.
Responsibilities
- Lead, design, implement, and improve ML and AI solutions.
- Explore and research ML tools and technologies for the company, providing guidance on the preparation of training data.
- Create solutions optimized to combine Edge IoT devices and Cloud Services.
- Design machine learning models for data and image processing tasks.
- Collaborate effectively with other engineers and data scientists, facilitating a culture of innovation, transparency, and clear communication.
- Write and review technical documents, including requirements and design documents.
Qualifications
- Must have a BS, MS, or PhD in AI, ML, Computer Science, Math, Physics or a related field.
- 5+ years of experience creating Computer Vision based Video Analytics solutions.
- 10+ years of experience with programming languages such as Python, C/C++, Java and open-source technologies.
- Experience with supervised training, unsupervised training, reinforcement learning, and transfer learning.
- Understanding of common ML methods, including strengths and weaknesses, and ability to select valid approaches for business applications.
- Experience with ML training data collection and refining/optimizing/tuning of training data.
- Familiarity with ML frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, MLPack, Caffe, etc.
- Team player attitude with focus on both team and individual goals, and excellent written and verbal communication skills.
Desired
- Experience with NN optimization (distillation, quantization, compression).
- Experience in areas such as generative AI, video semantic search, recommendation systems, pattern recognition, and multi-sensor geometry.
- Experience with embedded systems for signal processing and/or machine learning.
- Experience with databases and SQL.
- Patents, published papers, or conference participation related to machine learning.
- Experience presenting and visualizing results for a business audience.
WHY JOIN US
- Founder-led and employee-driven company.
- Opportunity to build where you stand with value-centric decision making.
- Stable yet hyper-growth environment.
- Market leader in redefining how B2B does security.
Benefits
- Comprehensive health, vision, and dental benefits for you and your family, including supplemental and life insurance, company-paid HSA contributions, and an Employee Assistance Program (EAP).
- 401(k) with up to 4% match.
- Time Off & Paid Holidays - we empower employees to take control of their well-being.
- Stock Options - every full-time employee has the chance to be an owner of the company.
- Paid Parental Leave to support your growing family while you’re away from work.
- Company events such as Christmas and Summer Parties.
- Charitable opportunities through the Daybreak Vision Project.
- Wellness services and seminars promoting physical, mental, emotional, and financial wellness.
- Scholarship opportunities, discounted cell services, and chances to score tickets to events.
HR Policy
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may require passing a federal background check and fingerprinting. Must be authorized to work in the U.S.
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