Staff Machine Learning Engineer
What drives you? Maybe you want to make the world a better place. Maybe you want to advance your career and work with the brightest minds in freight technology. Maybe you want to tackle new, exciting challenges while disrupting an industry. If this sounds like you, you’ve come to the right place.
While we're talking about your role in disruption, let's talk about disrupting job search norms. For example, one study found that men applied to jobs for which they met 60% of the criteria, whereas women applied only when they met ALL of the criteria. Here at Flock Freight, we're interested in your inherent abilities, not just the skills you bring from your last role - if you think you have what it takes to succeed in the role but don't check every box, please still get in touch. We'd love to start a conversation with you.
Flock Freight is proud to sponsor H1-B transfers and sponsorship for OPT candidates for certain positions. Please ask your recruiter if your role qualifies!
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talentops@flockfreight.com.
Interviewing is a two-way street, so let’s get to know each other. Here’s a little about us:
- We’re a unicorn. Following our recent Series D funding round, our valuation has surpassed $1 billion
- We’re growing fast — like, speed-of-light fast. In the past year, we’ve tripled our workforce and added thousands of square feet in Encinitas and Chicago
- We’ve got support. Our investors include SoftBank, Susquehanna, Eden Capital, Volvo Group Venture Capital, SignalFire, GLP Capital Partners, and GV (formerly Google Ventures)
- Efficiency is in our DNA. Our mission is to reinvent North America’s $2 trillion freight industry by relentlessly eliminating waste and inefficiency
- Algorithms drive our sustainable shared truckload solution. Behind our carbon neutral shared truckload service is world-class tech (and a lot of sweat)
- We’re taking names. Find us on the CNBC Disruptor 50, SDCE 100, SDBJ Diversity & Social Responsibility, and Fast Company World Changing Ideas lists
- We walk the walk. We make a positive impact in everything we do; our B Corporation certification is proof. We were the first B Corp in our industry
- We offer a hybrid work environment, and we are intentional about doing it right. Knowing you have a life outside of work, we won’t ask you to do your job from the office five days a week
About the Role:
Operationalize data science models into production via the development, monitoring, and maintenance of scalable, generalizable, hardened machine learning systems. Collaborates with data scientists and fellow engineers to lead the design, implementation, and continuous improvement of our machine learning software architecture to streamline the process of developing and deploying ML models to production. Collaborates with data engineering to establish and maintain data consistency across production and research environments, and is fixated on productivity and efficiency in all aspects of research and development.
Responsibilities:
- Reduce time to launch a completed ML model in production to < 1 month via the adoption and development of shared frameworks.
- Work towards a continuous delivery framework for model deployment with support for experimentation (e.g. A/B testing, blue-green/canary deployment, and monitoring)
- Continuously monitor and optimize latency on model inference requests with increasing volume
- Maintain parity between data handling in production and research code bases with minimal code duplication
- Streamline model development through introducing automation throughout all aspects of the data science workflow, (e.g. EDA, training, parameter tuning, and drift detection)
- Continuously improve reliability, scalability, security, and cost-effectiveness of ML infrastructure system
- Take part in the interviewing and consideration of potential new team members
- Provide guidance and technical mentorship to new Flockers
Qualifications:
- Masters or PhD in Computer Science, Statistics, Data Science, or related discipline
- 3 - 5+ years industrial experience working on data science projects
- Mastery of Python and common DS libraries and frameworks (e.g. Scikit-learn, xgBoost, Tensorflow)
- Experience with platform infrastructure engineering and/or DevOps is highly desirable
- Knowledge of operational and memory limitations of machine learning algorithms
- Experience with common GCP products (e.g. GKE, Load Balancing, Storage, Pub/Sub, IAM, VPC, KMS) or other cloud providers’ equivalents
- Experience with observability and monitoring tools
- Mastery of common database query languages and technologies (SQL / Postgres required, Snowflake, non-relational query languages optional)
- Experience building an end-to-end ML workflow (e.g. on top of Kubeflow, Airflow, MLFlow)
- Ability to evaluate tradeoffs between competing / complementary 3rd-party ML services and frameworks
- Ability to design scale-appropriate systems without engaging in overengineering / premature performance optimizations
- Ability to collaborate and communicate effectively with data scientists and fellow engineers to gather and refine requirements
- Ability to champion engineering projects independently (i.e. working cross-functionally on a team, but without others with a shared skillset)
Flock Freight is a proud sponsor of H1-B visas.
What’s in it for you?
- Unlimited paid time off: Take the time you need to recharge, stay healthy, and do your best work
- Ownership: As a thank-you for your dedication, we’ll give you the chance to build equity at Flock Freight with stock options
- Retirement plan: Plan for your future with a 401(k) account, which includes sustainable investing options
- Insurance: Health, dental, vision, and life insurance with HMO, PPO, and premium PPO options — plus an elective flexible spending account
- HealthiestYou: Connect with a doctor virtually — 24 hours a day, 365 days a year
- Commuter benefits: Save on commuting costs with our commuter benefit fund and reimbursements for low-emission transportation purchases.
- Paid parental leave: Take up to eight weeks of paid parental or paid pregnancy disability leave — we’ll coordinate any extra state or insurance benefits for you!
- Fun stuff: Cold brew and kombucha on tap, intramural sports, surf club, free lunches — need we say more?
We’re changing how freight moves for the better, and are having fun doing it. You with us? Visit flockfreight.com/careers to join the Flock.
Committed to creating an environment that’s fair and inclusive, Flock Freight fills open positions based on qualifications, merit, and business need. We value the skills of people from various backgrounds and are proud to hire, promote, and retain talent from a diverse candidate pool. Diverse perspectives are central to innovation at Flock Freight and make our team better.
Flock Freight has zero tolerance for behavior that negatively impacts marginalized groups, including women, people of color, veterans, immigrants, people with disabilities, and members of the LGBTQIA+ community. We invite people of all identities to join the Flock!
To ensure safety for all of our employees, Flock Freight's offices are fully vaccinated worksites. If you are local to either our San Diego or Chicago office, please know that we will require proof of vaccination to work at these sites. This vaccination policy applies to all Flock Freight offices and sponsored work events.
We look for Flockers who...
Benefits
Our philosophy
Our employees are part of the Flock family. We support our family by providing many paths for growth and empowering people to better themselves through professional development, emotional support, and personal health.
Flock Freight takes our commitment to employees a step further by implementing people-focused initiatives that align with our values as a B Corporation. As a B Corp, we have an obligation to uphold the highest standards for several impact areas: sustainability, philanthropy, diversity, and employee wellness.