Machine Learning Engineer (Autonomous Driving)

Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration and remote work.

Salary: $311,850–$350,625.

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world experience and supports scalable, mapless vehicle automation from L2+ through L4.

What you will do

• Develop AI driver model architectures and training algorithms for L2, L3, and L4 driving behaviours.
• Own key parts of the model lifecycle, including evaluation strategy, success metrics, and iteration planning.
• Mine, bucket, and curate real-world and synthetic data, and implement data schemes for training.
• Run and analyse on-road and offline experiments, translating results into model improvements.
• Build and deploy models that predict vehicle trajectories and interact with controllers and actuators.
• Develop production-ready ML systems covering training, evaluation, deployment, monitoring, and reliability.

Requirements

• Proven experience training deep learning models with end-to-end ownership of data, training, evaluation, and iteration.
• Experience taking ML models into production under real-world quality and safety constraints.
• Strong Python skills and hands-on experience with modern ML frameworks, including PyTorch.
• Background in autonomous driving, embodied AI, or large-scale product ML systems such as recommendations or ranking.
• Experience with reinforcement learning or behavioural cloning that improved real-world performance.
• Ability to work in a hybrid role based in Sunnyvale, California, USA.

Nice to have

• Experience with model compression and deploying ML to embedded systems.
• Experience with multi-sensor inputs such as camera, radar, and lidar.

Culture & Benefits

• Hybrid working with core hours and hands-on access to vehicle workshops and labs.
• Meaningful equity and annually benchmarked salaries.
• Relocation support and visa sponsorship where applicable.
• Learning and development budgets for training, conferences, and professional growth.
• Benefits may include health and dental insurance, enhanced parental leave, retirement or pension plans, therapy access, and wellbeing discounts.
• High-ownership environment focused on building autonomous driving technology from research through commercial deployment.

Hiring process

• Initial recruiter screen lasting approximately 30 minutes.
• Competency interviews covering programming and system design, followed by technical interviews in hiring management, applied ML, and PyTorch debugging.
• Final mission and values alignment interview.