Join Flock Safety as a Machine Learning Engineer specializing in Object Tracking. You will architect, develop, and deploy large-scale, real-time tracking algorithms critical to our mission. You'll collaborate with research scientists, ML engineers, and infrastructure teams to build accurate models that track people, vehicles, and other objects.
What You'll Do
- Develop motion-based and appearance-based tracking models, integrating deep learning, probabilistic modeling, and graph-based techniques.
- Optimize tracking algorithms for speed, accuracy, and scalability in real-time and batch processing environments.
- Collaborate with device, data engineering, and infrastructure teams to manage hybrid video processing and storage.
- Develop data pipelines to create appropriate datasets and model feedback.
- Leverage research and technology to create custom solutions.
- Design and run experiments to test new ideas or improvements to existing models.
- Build visualization and monitoring tools to evaluate the quality of our data and models.
- Collaborate across teams and product to deliver solutions that fit within business and organizational requirements.
- Review code of other Machine Learning Engineers.
What We're Looking For
- 3+ years of industry experience in Deep Learning and Computer Vision.
- Experience with Computer Vision modeling, such as Object Detection and Multi-Object Tracking.
- Experience in metric learning, contrastive learning, and embedding-based ReID models.
- Experience with integrating tracking algorithms like SORT, DeepSORT, ByteTrack, FairMOT, or graph-based tracking into systems.
- Knowledge of probabilistic models (e.g., Kalman Filters, Bayesian filtering) and trajectory prediction.
- Experience in working with hybrid systems of deployed devices working with cloud processing.
- Strong experience in Python.
- Experience leading projects from R&D to production.
- Experience with SQL.
- Basic Git knowledge.
- Basic Bash knowledge.
Technical Stack
- Python
- SQL
- Git
- Bash
Team & Environment
You will work closely with research scientists, ML engineers, infrastructure teams, and operations.
Benefits & Compensation
- Compensation: $150,000 and $165,000 + Flock Safety Stock Options
- Flexible PTO: non-accrual PTO, plus 11 company holidays.
- Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
- Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
- Fertility & Family Benefits: $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses via partner Maven.
- Mental Health Benefits: Therapy, coaching, medication management, and digital tools via Spring Health.
- Caregiver Support via partner Cariloop.
- Carta Tax Advisor: 1:1 sessions with Equity Tax Advisors.
- Employee Resource Groups (ERGs): Women of Flock, Flock Proud, LEOs and Melanin Motion.
- WFH Stipend: $150 per month.
- Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo and more.
- Home Office Stipend: A one-time $750.
Work Mode
This is a hybrid role open to candidates in Atlanta, Boston, Chicago, Denver, Los Angeles, New York City, San Francisco, Austin, or remote within the United States.
Flock Safety is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us.
