Machine Learning Engineer

April 18, 2022


OVERVIEW  We are seeking a talented engineer to join our Machine Learning team as a Machine Learning Engineer. We are working on ambitious projects to characterize plant and soil health across agricultural areas. The Machine Learning Engineer will work closely with our Robotics, Science, Geographic Information Systems (GIS), Computational Chemistry, and Software teams to help analyze and model massive synthetic, laboratory, and field datasets, using them to gain insight into properties of plants and soil.  YOUR MISSION  To support our soil and plant health work using machine learning techniques on large datasets sourced from satellites, drones, field rovers, and lab measurements.  ACCOUNTABILITIES  Research and help develop innovative machine learning/deep learning models  Support the implementation of automated processing pipelines for large datasets  Research and help implement algorithms involving active learning, uncertainty modeling, and semi-supervised learning to improve sampling and model performance  Collaborate with our Software and Machine Learning Engineers to put your models and algorithms into production  REQUIREMENTS  M.Sc. or Ph.D. in Engineering/Computer Science, or an equivalent combination of experience and knowledge  3+ years of experience in applying machine learning and deep learning concepts to real-world problems  Experience coding on a team and working collaboratively with other engineers  Familiarity with deep learning network architectures (e.g. convolutional neural networks, recurrent neural networks, single shot detectors) and frameworks (e.g. Tensorflow and PyTorch)  Familiarity with classical and modern computer vision techniques  Solid programming skills with a focus on writing clean/maintainable code with experience in Python (strongly preferred), Java, or C++ programming  Strong analytical ability and mathematical skills  Matured communication and critical thinking ability to influence and propose analytics strategies that challenge status quo thinking  PREFERENCES  Portfolio of completed machine learning projects/papers available for review  Experience in biology, chemistry, soil science, and/or remote sensing  Experience with active learning, uncertainty modelling, and/or Bayesian neural networks  Experience applying machine learning techniques to massive datasets  Experience with MLOps and/or Data Engineering tools and frameworks  Exposure to imaging system components (sensors, optics, lighting)  Knowledge of the Agile project management methodology  QUALITIES WE’RE LOOKING FOR  Aptitude for interdisciplinary collaboration  Highly conscientious with strong follow-through  Capable of performing research on best practices and communicating results to a non-expert audience  Able to apply domain knowledge to ambiguous and novel situations  LOCATION   This position is remote based in Vancouver, BC.  WHO WE ARE  Terramera is an AgTech company transforming how we grow food and the economics of agriculture by simulating complex systems and the interactions of molecules and taking learnings from and to the field. The company provides solutions to the agricultural industry to reduce the use of synthetic pesticides, increase crop resiliency, predictability and quality, support regenerative agronomy and measure the carbon sequestered through regenerative agriculture. Terramera is headquartered in Vancouver, British Columbia, Canada, with integrated operations that include research labs, automated plant growth facilities and a robotics workshop, and has more than 200 patents in its IP portfolio.  Our success begins with our people. We’re looking for A-Players who are passionate about making a difference as we are and thrive in environments that are dynamic, challenging and rewarding. Join our movement, as we set a new standard and change the world together as a highly dedicated, innovative, future-focused and solutions-oriented team.  While we thank all applicants for their interest, only short-listed candidates will be contacted. For more information on Terramera, please visit our website at www.terramera.com  Terramera is committed to a diverse workforce and we are an equal opportunity employer. As we make serious efforts to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be used in the hiring process, and has no effect on your opportunity for employment. APPLICATION DEADLINE  Applications will be accepted on a rolling basis.

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