Machine Learning Scientist - Robotics & Automation

Job Summary

Startup Inno is seeking a highly skilled and innovative Machine Learning Scientist - Robotics & Automation to join our growing R&D team. In this role, you will be at the forefront of designing and deploying intelligent algorithms that power next-generation robotic systems and autonomous platforms. You will work closely with robotics engineers, software developers, and product teams to build data-driven solutions that enable machines to perceive, learn, adapt, and act in real-world environments.

This position is ideal for a candidate who is passionate about artificial intelligence, robotics, and applied machine learning, and who thrives in a fast-paced, research-oriented startup environment.

Key Responsibilities

• Design, develop, and implement machine learning models for robotics and automation systems.

• Build and optimize algorithms for perception, motion planning, control, and decision making.

• Work with sensor data (LiDAR, cameras, IMUs, depth sensors) to enable real time robotic intelligence.

• Conduct experiments, simulations, and validations to improve model accuracy and performance.

• Collaborate with cross functional teams to integrate ML models into robotic hardware and software stacks.

• Develop pipelines for data collection, preprocessing, training, evaluation, and deployment.

• Research and apply state of the art techniques in deep learning, reinforcement learning, and computer vision.

• Monitor and continuously improve deployed models in production environments.

• Document methodologies, models, and results for internal and external stakeholders.

Required Skills and Qualifications

• Masters or PhD in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field.

• Strong programming skills in Python; experience with C++ is a plus.

• Hands on experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.

• Solid understanding of supervised, unsupervised, and reinforcement learning techniques.

• Experience in computer vision, SLAM, or sensor fusion is highly desirable.

• Knowledge of robotics middleware such as ROS/ROS2.

• Strong analytical, problem solving, and critical thinking skills.

• Excellent communication skills and ability to explain complex concepts clearly.

Experience

• 3+ years of experience in machine learning, AI research, or robotics related roles.

• Proven experience building and deploying ML models in real world or industrial applications.

• Experience working with robotic systems, autonomous platforms, or embedded systems is preferred.

• Exposure to research environments, academic publications, or innovation labs is an advantage.

Working Hours

• Full time position, 40 hours per week.

• Flexible working hours with core collaboration time.

• Hybrid or remote options may be available depending on project requirements.

Knowledge, Skills, and Abilities

• Deep understanding of statistical modeling and algorithm design.

• Ability to translate business and engineering problems into ML solutions.

• Strong knowledge of data structures, algorithms, and optimization techniques.

• Familiarity with cloud platforms and MLOps practices (Docker, Kubernetes, CI/CD).

• Ability to work independently as well as in a collaborative team environment.

• Curiosity, adaptability, and a strong drive for continuous learning.

Benefits

• Competitive salary and performance based incentives.

• Opportunity to work on cutting edge robotics and AI technologies.

• Flexible work arrangements and supportive work culture.

• Professional development programs, training, and certifications.

• Access to advanced tools, research resources, and innovation labs.

• Health insurance and wellness benefits (as per company policy).