ML Engineer, Computer Vision
Role details
Job location
Tech stack
Job description
As a Senior Machine Learning Engineer on the Vision Team, you will support the machine learning model lifecycle that allows our devices to decode evidence like a detective and define how crime is eliminated. You will play a key role in improving model performance and addressing model drift. The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software.
How you'll make an impact:
- Frame open-ended, real-world problems into well defined ML problems
- Make use of and improve on existing data acquisition and model training/evaluation pipelines to create appropriate datasets and obtain model feedback
- Leverage cutting-edge 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, We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe 90 day plans and believe that good days lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.
The First 30 Days
- Learn our tech stack, internal toolkit, and standard operating procedures for training, evaluating, and deploying our machine learning models
- Get to know the technical teams and stakeholder groups you'll be working closely with
- Begin making a meaningful impact by adding an incremental improvement to our model evaluation reports
The First 60 Days
- Curate our holdout data to improve representation and address certain challenging strata
- Improve statistical reporting metrics in our evaluation reports
- Get acquainted with downstream repositories that support our predictive capabilities.
90 Days & Beyond
- Improve understanding of the impact of data augmentations in our training pipeline.
- Introduce new augmentations within our modeling framework
- Gauge model robustness by building holdout datasets for various adversarial conditions
- Become fully independent within our end-to-end training and deployment pipeline
Requirements
- 6+ years of experience
- BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD's welcome)
- Experience solving problems using Machine Learning frameworks (Tensorflow, PyTorch, scikit-learn, etc.)
- Good understanding of Deep Learning and Traditional ML (supervised and unsupervised) algorithms
- Experience writing Python in a team environment
- Able to take on complex problems, learn quickly, iterate, and persist towards a good solution
- Effectively communicate, at the level of your audience, and seek to understand and be understood
- Basic SQL knowledge
- Basic Git knowledge
- Experience with linear algebra, probability, and statistics preferred
Feeling uneasy that you haven't ticked every box? That's okay; we've felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day., If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.
Benefits & conditions
In this role, you'll receive a starting salary between $160,000 and $175,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat., ️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: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.
Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
ERGs: We want all employees to thrive and feel like they belong at Flock. We offer four ERGs today - Women of Flock, Flock Proud, LEOs and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
WFH Stipend: $150 per month to cover the costs of working from home.
Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo and so much more.
