Engineering Manager, Machine Learning

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Machine Learning in United States.

This role leads a team of talented engineers developing cutting-edge machine learning systems for intelligent, real-time applications in dynamic environments. You will own the technical roadmap for perception, multimodal understanding, and edge inference, ensuring AI systems perform reliably at scale. Partnering closely with cross-functional teams, you will deliver high-impact improvements in model accuracy, latency, and operational efficiency. The position combines strategic leadership with hands-on technical contribution, driving both team growth and innovation. You will influence architecture, MLOps practices, and production-grade model deployment, bridging cloud-scale ML infrastructure with real-world device integration. Operating in a fast-paced and collaborative environment, your work will enable transformative AI solutions.

Accountabilities

• Lead, mentor, and grow a team of \~10 ML and AI infrastructure engineers, fostering skill development and high performance
• Define technical vision, roadmap, and success metrics for perception, multimodal reasoning, and edge inference systems
• Architect scalable ML infrastructure and platforms for training, data management, and inference, leveraging modern MLOps practices
• Deliver production-grade computer vision and multimodal models optimized for real-time, on-device performance
• Build and maintain end-to-end data pipelines, instrumentation, labeling, evaluation, and monitoring to continuously improve model performance
• Collaborate with cross-functional teams including hardware, product, design, and operations to ensure seamless integration and measurable impact
• Prioritize work that drives improvements in recognition accuracy, system reliability, and low-latency edge performance

Requirements

• 8\+ years of experience building and deploying machine learning systems, with a focus on computer vision in production environments
• 2\+ years managing teams of 6\+ ML/AI engineers, including hiring, performance management, and career development
• Hands-on experience with deep learning frameworks (e.g., PyTorch), model training, evaluation, and MLOps practices
• Proven expertise in architecting ML infrastructure on cloud platforms (e.g., GCP) and distributed training/inference frameworks like Ray
• Experience with containerization (Docker), orchestration (Kubernetes), and optimizing models for real-time edge inference (e.g., TensorRT, ONNX, quantization)
• Proficiency in Python and SQL, with a track record of shipping end-to-end CV systems including data pipelines, experimentation, deployment, and post-launch iteration
• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related technical field, or equivalent practical experience

Preferred Qualifications

• Experience integrating on-device ML with mobile/Android applications and SDKs
• Knowledge of multimodal vision-language models (VLMs) and large language models (LLMs) for perception and reasoning
• Background in sensor and hardware integration, calibration, and dataset generation for real-time environments
• Success leading cross-functional programs across multiple partner teams and delivering multi-quarter roadmaps
• Advanced degree (MS/PhD) in computer vision, machine learning, or robotics with applied or research experience

Benefits

• Competitive base salary with bonus and equity grants
• Comprehensive health, dental, and vision coverage, plus wellness programs
• Flexible work arrangements (remote, hybrid, or onsite) and supportive Flex First culture
• Paid time off, holidays, parental/adoption leave, and home technology stipend
• Opportunities for career growth and leadership development in a high-impact technical environment
• Inclusive and collaborative work culture with focus on diversity and equity

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.