Senior Staff Machine Learning Engineer, Multitask Modeling

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.

Flock Safety is a leading public safety company dedicated to eliminating crime through a full-service offering of hybrid hardware and software systems. Flock’s computer vision products decode information to search against using several deep learning multitask models with a shared backbone and multiple task heads. As a Sr. Staff ML Scientist, you will lead the research and development of Flock’s multitask deep learning models.

• PhD or MS in Computer Science, Electrical Engineering, or a related field with 10+ years of experience in computer vision and deep learning.

• Proven experience improving multitask learning architectures, particularly with shared backbones and multiple task heads.

• 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, knowledge distillation, etc.

• Good experience with PyTorch, Tensorflow, or JAX, with a track record of improving or extending deep learning models

• Good software engineering skills in Python

• Basic SQL knowledge

• Basic Git knowledge

• Basic Bash knowledge

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.

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 ML Engineer with Flock Safety. 

The First 30 Days

• Focus on onboarding and understanding the existing codebase, datasets, and infrastructure.

• Set up a development environment and begin training a model.

• Collaborate with cross-functional teams, including Machine Learning, Data Engineering, and Product, to gain insights into workflows and dependencies.

• Contribute a small, impactful piece of code on your first day to kickstart engagement.

• Review modeling and data systems to understand how they interact and support existing use cases.

• Shadow the team to gain exposure to ongoing projects, maintenance tasks, and troubleshooting processes.

• Generate a list of potential improvements in model performance, stability, or testability..

The First 60 Days

• Begin extending enhancements and optimizing models for specific use cases.

• Work independently with guidance, bringing forward potential solutions instead of just questions.

• Improve training metrics and provide insights on potential refinements.

• Conduct cross-validation experiments, analyze results, and refine data strategies.

• Generate ideas for dataset improvements and initiate implementations.

• Collaborate with senior team members to develop a list of experiments and enhancements, aiming to complete at least four.

90 Days & Beyond

• Lead and drive advancements by deploying optimizations that improve model performance and usability.

• Independently manage tasks with minimal oversight while maintaining transparency.

• Contribute to improving the evaluation dataset and model comparison framework for deeper insights.

• Review production monitoring systems and recommend improvements.

• Enhance model deployment and inference services to optimize efficiency.

• Engage in cross-team collaboration to refine strategies and drive impactful changes.

• Contribute to knowledge-sharing initiatives, such as internal presentations or documentation enhancements.

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. 

1. 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. 

2. 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. 

3. The Technical Assessment: Our technical assessments seek to test the hard skills required to do the job. Engineers may find themselves in coding interviews or architecture discussions, sales roles may present mock discovery calls, and leadership roles may craft 90 day plans. Your recruiter will inform you of which assessment you will be assigned and ensure you are fully prepared for your big day. Expect to defend all relevant design work in your resume.

4. The Executive Review: A chance to meet an executive and view Flock from a different lens. Be prepared to ask well-thought-out questions about the company, culture, and more. 

In this role, you’ll receive a starting salary of $240,00-$310,000 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.

🌴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.