Position: Senior Machine Learning Engineer (Robotics)
Company: Perfectial
Experience required: 3y
English level: intermediate

You will be working with a part of the project that deals with robotics work which involves processing cellular level images in real-time and manipulating live cell specimens. We are in a need of a software engineer who will focus on algorithm development. As our controls specialist in a highly collaborative environment, you will work with other disciplines including AI/ML, imaging/machine vision and robotics hardware.

The ideal candidate is an excellent communicator who will thrive in a fast-paced environment and has a superb ability to manage and organize multiple priorities. 

At Perfectial, we’re committed to our projects, customers, having fun and most importantly to each other’s success

If you are a detail-oriented person who gets motivated by contributing to meaningful projects, we would like to hear from you!

Requirements:
3+ years of professional experience
Experience with control algorithms for manipulation including motion planning, path planning, trajectory planning for controllers
Experience with modern control theory e.g. MPC, PID and LQR in conjunction with our reinforcement learning efforts by the AI/ML team
Deep familiarity with robotics manipulation and operating systems like ROS, Drake etc.
Experience using/developing realistic simulation and modelling tools such as Drake or Gazebo
Hands-on experience with system autonomy; vehicles, drones, robotic manipulators
Working in a fast-paced environment with interdisciplinary teams in building a robust robotics system
Good communication and presentation skills

Our professionals value us for:
Regular performance evaluation and salary revision, attractive benefits package;
Functional offices, centres of excellence, and mentorship from competence leads to support the professional growth;
Tech talks, open talks, and conferences; training and certifications;
Free English courses of all levels with attentive and friendly teachers;
Health insurance; maternity aid; corporate sports teams, hobby clubs, in-house gym or gym discounts;
Referral program, bonuses for marriage and childbirth;
Great team parties and corporate events; cool branded gifts; an additional paid day off for the Company Day celebration;
Warm and relaxed atmosphere, smooth and transparent communication, and unlimited fun.