Talantix.io
Bot Auto•18.02.26
AI SCORE 8.5

Remote Machine Learning Engineer - 3D Vision & Localization

$140K–$180K/year
Remote3D Robotics
Machine Learning•3D Vision•SLAM•Deep Learning•Computer Vision•Python•C++•TensorFlow•PyTorch

About the Role

We're seeking a talented Remote Machine Learning Engineer specializing in 3D Vision and Localization to join our innovative team at Bot Auto. In this role, you will work on cutting-edge autonomous technologies that redefine how self-driving vehicles perceive and navigate the world. You will collaborate with experts in AI, mapping, and robotics to shape the next generation of intelligent mapping systems.

What You'll Do

  • Be part of a multidisciplinary team of research scientists and engineers using an AI-first approach to enable safe self-driving at scale.
  • Design and develop advanced SLAM systems to create, automate, and optimize large-scale 3D map-building pipelines for autonomous trucking environments.
  • Implement robust, precise, and real-time onboard state estimation algorithms capable of maintaining accuracy and robustness under challenging conditions.
  • Build and refine deep-learning-based observation models that enable resilient perception and localization performance across diverse and complex real-world scenarios.
  • Integrate and validate localization and mapping solutions across onboard and offline systems, ensuring scalability, efficiency, and long-term operational stability.
  • Collaborate cross-functionally with perception, planning, control, and systems teams to align mapping and localization outputs with broader autonomy goals.

Requirements

  • Master's or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Strong background in robotics, simultaneous localization and mapping (SLAM), or 3D vision theory and practice.
  • In-depth knowledge and extensive experience in deep learning, computer vision, and related technologies.
  • Proficiency in programming languages such as Python, C++, or similar.
  • Experience with frameworks like TensorFlow or PyTorch for deep learning implementations.

Nice to Have

  • Experience with ROS (Robot Operating System).
  • Familiarity with lidar and camera-based perception systems.
  • Knowledge of optimization techniques and algorithms.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Flexible remote work environment.
  • Opportunities for professional growth and development.
  • Collaborative and innovative team culture.
  • Health, dental, and vision insurance.
Why This Job8.5 of 10

This Remote Machine Learning Engineer role offers a unique opportunity to work on innovative 3D vision projects in the autonomous vehicle sector. With a competitive salary and a flexible work environment, it's an attractive position for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in implementing SLAM (Simultaneous Localization and Mapping) algorithms using Python and C++, with a deep understanding of 3D vision techniques and their applications in autonomous systems.

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Demonstrates strong self-motivation and discipline to excel in a remote work environment, effectively managing time and collaborating asynchronously with cross-functional teams in AI and robotics.

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Possesses a growth mindset, actively seeking new knowledge in advanced deep learning frameworks like TensorFlow and PyTorch to continuously improve model performance and adapt to evolving technologies.

Learning Resources

→Deep Learning for Computer Vision with Pythonbook
→3D Computer Vision: A Geometric Viewpointcourse
→SLAM for Autonomous Roboticscourse

Career Path

Remote Machine Learning Engineer - 3D Vision & Localization(Now)→Lead Machine Learning Engineer(1-2 years)→Director of Machine Learning & AI(3-5 years)

Market Overview

Market Size 2024
$20.7B
Annual Growth
38.5%
AI Adoption
60%
Investment
+300%
Labour Demand
+45%
Avg Salary
$150K

Skills & Requirements

Required
Machine Learning3D VisionSLAM
Growing in Demand
Reinforcement LearningGenerative Adversarial Networks (GANs)Robotics Programming
Declining
Traditional Statistical MethodsMATLAB

Domain Trends

Rise of 3D Vision Applications
3D vision technology is projected to grow by 25% annually as industries adopt it for augmented reality (AR) and virtual reality (VR) applications.
Increased Use of SLAM in Robotics
SLAM (Simultaneous Localization and Mapping) is seeing a 40% increase in adoption within autonomous vehicles and robotics, driven by advancements in computer vision.
Growth of Edge Computing in Machine Learning
Edge computing is expected to see a 50% rise in integration with machine learning models, allowing for real-time data processing and reduced latency.

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