Staff Machine Learning Engineer, Object Detection
Remote - USA
Full Time Senior-level / Expert USD 205K - 240K
Flock Safety
From creating safer neighborhoods to protecting employees and property, we help you deter and solve crime with tools customized and scaled to your needs.Flock Safety is an all-in-one technology solution to eliminate crime and keep communities safe. Our intelligent platform combines the power of communities at scale - including cities, businesses, schools, and law enforcement agencies - to shape a safer future together. Our full-service, maintenance-free technology solution is trusted by communities across the country to help solve and deter crime in the pursuit of safer communities for everyone.
Our holistic public safety platform is comprehensive and intelligent, providing the actionable evidence needed to solve, deter and reduce crime across neighborhoods, schools, businesses and entire cities. Without compromising transparency or privacy, we are turning unbiased data into objective answers.
Flock strives to offer a career-defining experience where you can also make an impact on your community. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fulfilling relationships even when we are physically apart. Our group of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded.
We have raised over $500M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Meritech Capital Partners, and Initialized Capital. Now surpassing a $5.5B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
The OpportunityFlock’s LPR and Video devices detect and track objects to provide its customers with the best information to make actionable decisions. The detection models that are used in these devices need to handle a myriad of different environments, lens configurations, fields of view, and purposes, all within power constraints and hardware limitations. As Staff ML Engineer, Object Detection, you will own the design, training, evaluation, and management of these sets of models to achieve optimal performance.
The Skillset
5+ years of industry experience in Machine Learning with a focus on Object Detection, or related Computer Vision Deep Learning modeling
Strong proficiency in PyTorch and/or Tensorflow for training deep learning models
Deep understanding of Deep Learning model concepts, such as convolutional networks, transformers, attentions, losses, learning rates, etc.
Good understanding of traditional ML (supervised and unsupervised) algorithms
Experience tuning and optimizing models for running efficiently on IoT devices
Strong software engineering skills in Python
Experience with SQL
Basic Git knowledge
Basic Bash knowledge
Nice to have experience in running models on Qualcomm devices
Nice to have C++ experience
We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe to 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 as a Software Engineering Manager at Flock Safety.
The First 30 Days
Onboard and Integrate:
Familiarize yourself with the company's mission, products, and development processes.
Build relationships with key stakeholders to understand their needs and expectations. Meeting with a member of the following teams:
Machine Learning
Data Engineering
Product
Assess and Analyze:
Review current modeling code and infrastructure
Train an object detection model
Collaborate with leadership on dataset strategies
The First 60 Days
Propose experiments to enhance object detection
Improve model performance evaluations
Improve training metrics
90 Days & Beyond
Ability to perform role with little guidance with transparency.
Communicating across multiple teams to solve problems efficiently.
Be comfortable picking up engineering tasks of larger size and more ambiguity.
Finish data acquisition
Complete object detection experiments
Perform Exploratory Data Analysis
We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way.
Our First Chat: During this first conversation, you’ll meet with a recruiter to chat through your background, what you could bring to Flock, what you are looking for in your next role, and who we are.
The Hiring Manager Interview: You will meet with your potential future boss to really dive into the role, the team, expectations, and what success means at Flock. This is your chance to really nerd out with someone in your field.
The Panel: Learn more about the team, responsibilities, and workflows. You should be prepared to speak about past projects, how you collaborate and communicate with others, and how you live our values. Depending on the team and role you are interviewing for, you may meet with several teammates as well as cross-functional partners.
The Executive Review: A chance to meet an executive in your function and view Flock from a different lens. Be prepared to ask well-thought-out questions about the company, culture, and more.
Salary & Equity:
In this role, you’ll receive a starting salary of $205,000 - $240,000 as well as 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.
The Perks🌴Flexible PTO: We seriously mean it, 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: 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 three ERGs today - Women of Flock, Flock Proud, 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: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
Tags: Computer Vision Data analysis Deep Learning EDA Engineering Git Machine Learning Maven Privacy Python PyTorch SQL TensorFlow Transformers
Perks/benefits: Career development Equity / stock options Fertility benefits Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Salary bonus
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