USD per year
Senior ML Engineer, Enrichment
Job type
Full-time
Role
Engineering, Machine learning
Experience
6+ years
Visa
US citizen/visa only
About the role
Who is Flock?
Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact. With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.
The Opportunity
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
The Skillset
- 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.
90 Days at Flock
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
Salary & Equity
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.
Location
We’re building the impossible together. To drive innovation through in-person collaboration we’re prioritizing candidates in key hubs: Atlanta, Boston, Chicago, Denver, Los Angeles, New York City, San Francisco, and Austin. While we value the energy of our hub communities, nevertheless we embrace remote work and welcome applications from exceptional talent across the United States.
The Perks 334Flexible PTO: We offer non-accrual PTO plus 11 company holidays.489Fully-paid health benefits plan for employees: including Medical,
dental, and Vision plus an HSA match.46aFamily Leave: All employees receive 12 weeks of 100% paid parental leave. birthing parents are eligible for an additional 6 6 weeks of physical recovery time.37cFertility & Family Benefits: Partnered with Maven providing $50K lifetime max benefit related to eligible adoption, surrogacy, or fertility expenses.9e0Spring Health: Mental health benefits including therapy, joaching, edication management, and digital tools tailored individually.496Caregiver Support: Partnered with Cariloop for caregiver support services.4b8Carta Tax Advisor: Employees get 1:1 sessions with Equity Tax Advisors for grant questions,tax scenarios,etc.49aERGs: Four Employee Resource Groups - Women of Flock,Flock Proud ,LEOs,and Melanin Motion available for belonging support.4bbWFH Stipend: $150/month for working from home costs.4daProductivity Stipend: $300/year for Audible ,Calm ,Masterclass ,Duolingo etc.3e0Home Office Stipend: One-time $750 for home office setup. If an offer is extended & accepted this position requires ability to obtain & maintain Criminal Justice Information Services (CJIS) certification as condition of employment including FBI fingerprint-based background check.
About Flock Safety
Flock Safety provides the first public safety operating system empowering private communities & law enforcement together to eliminate crime. Committed to protecting human privacy & mitigating bias in policing via ethical design technology uniting civilians & public servants toward safer equitable society. safety-as-a-service includes affordable LTE/solar powered devices installable anywhere.Technology detects objective details ,decodes evidence real-time ,delivers investigative leads promptly.Supportive team optimizing remote experience creating strong fun relationships even when apart.Hard-working employees thrive in positive inclusive environment rewarding bias towards action.Headquartered Atlanta operating nationwide.Raised $150M Series E led by Tiger Global at $3.5B valuation.