Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.
About the role
Forterra is actively looking for an experienced machine learning engineer to join our perception team. In this role, you will contribute to the development of cutting-edge perception solutions for autonomous systems working with heterogeneous sensors to tackle both structured on-road mobility and unstructured off-road mobility. The ideal candidate should possess a robust skill set, particularly in crafting high performance machine learning models and maintaining those models through real-world deployment life cycles.
What you"ll do
Work cross functionally to support the exploration and development of new state-of-the-art perception models
Support on-going model lifecycle developments
Maintain and improve our existing model training, testing and deployment infrastructure
Required Qualifications
Strong programming experience in Python
Experience developing modern machine learning algorithms for perception tasks
Experience with developing and maintaining machine learning models in real world environments
Experience with containerization tools
Strong experience working on a software development team
Ability to write clean, maintainable code and documentation
Preferred Qualifications
Background in cloud infrastructure and AWS in particular
Experience with NVIDIA Jetson family of devices
Experience with modern data workflow management frameworks like apache airflow, argo, or metaflow
Experience with machine learning frameworks like pytorch
Experience in production robotics is a plus
Education
BS in computer science or a related field, or equivalent amount of relevant industry experience
3+ years of industry experience
US Salary Range
$115,000—$190,000 annually.
The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra's overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:
Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
Basic Life/AD&D, short and long-term disability insurance, Legal & ID protection plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
Extremely generous company holiday calendar including a winter break in December.
Competitive paid time off (PTO) offering 20 days accrued per year.
A minimum of 7 weeks fully paid parental leave for birth/adoption.
A $9k annual tuition reimbursement or professional development stipend.
Fully stocked beverage refrigerators with all the Celsius your little heart desires.
401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.
Your recruiter will be able to share more information about our salary and benefits offering during the hiring process.
Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment.
