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HomeCompaniesApera AI IncSenior Machine Learning / Computer Vision Applied Scientist

Senior Machine Learning / Computer Vision Applied Scientist

Apera AI Inc · Vancouver, British Columbia · Active · $140,000–$180,000 / year · Greenhouse

Job facts

FieldValue
CompanyApera AI Inc
TitleSenior Machine Learning / Computer Vision Applied Scientist
Normalized title-
Department / teamFinance
LocationVancouver, BC, Canada
Work model-
Employment type-
Salary$140,000–$180,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-08 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

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ATS provider jobsActive postings observed through Greenhouse.Open
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City jobsActive postings in Vancouver.Open
Department jobsActive postings in Finance.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyApera AI Inc
Source9f8f9c9a-1bda-491e-a7b5-434c9d94b736
ATS providerGreenhouse

Description

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we’ve been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech “Company of the Year – Growth”, we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera’s software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing. Job Description: Robots can do amazing things - if they can see. That’s where you come in. We’re Apera AI. Our breakthrough 4D Vision™ systems turn blind robots into intelligent, adaptable workers. But that transformation doesn’t happen without great teams. We are looking for a Senior Machine Learning and Computer Vision Applied Scientist with outstanding problem-solving skills to join our AI team. This is an in-person role based in our Vancouver office, where you will collaborate closely with a small group of ambitious engineers and applied scientists delivering the future of robotic perception. Your work will be both grounded in state-of-the-art research and applied to guiding industrial robots on factory floors around the world. You will own projects end-to-end from literature review through prototyping, benchmarking, and scaling. This includes: Extending Apera’s industry best object detection, stereo depth estimation, and 6d pose estimation modules Integrating foundation models into our perception stack to improve generalization and few-shot/zero-shot capabilities Collaborating with the C++ application team to get models deployed and user experiences optimized Collaborating with the infrastructure team to train and manage data on AWS Tracking the latest publications in top computer vision and robotics venues Prototyping and then implementing production training and deployment, mainly in PyTorch Optimizing models for real-time deployment at the edge (~1 Hz, powerful NVIDIA GPU) to support high accuracy, high robustness robot guidance Engineering for industrial reliability of 99.9% About you: You are motivated, talented, hardworking and have an entrepreneurial spirit. You enjoy making large impact at your company. You enjoy solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence. What We’re Looking For: STEM bachelor's degree 5+ years of experience in using deep learning for CV 4+ years of experience in software development Bonus: Master’s or PHD degree with focus on computer vision and machine learning Experience in 3D geometry and related topics in graphics and deep learning Why Apera? We offer a competitive compensation package, including a base salary range of CAD $140,000–$180,000 plus stock options, designed to recognize your expertise and align your success with the company’s growth. You’re building systems that support teams working on real, deployed AI and robotics solutions, not hypothetical future tech. A chance to do meaningful, foundational work in a company that values execution and clarity. A culture of curiosity: we experiment, learn fast, and share openly. Well-funded with a recent Series A to fuel ambitious product roadmaps and growth. Trusted by big-name automotive in TIER 1 suppliers. High-impact work with autonomy and clear paths to grow. Join us to make robotics more accessible, predictable, and powerful.

Full job record

Job IDbb211c4675b3333d9e26dbf75e0abdbdf936cdc4
Org IDea281e13-15d1-46ba-9565-b35769a2e5d8
Source ID9f8f9c9a-1bda-491e-a7b5-434c9d94b736
Board ID9f8f9c9a-1bda-491e-a7b5-434c9d94b736
Providergreenhouse
Provider Job Key5102577007
TitleSenior Machine Learning / Computer Vision Applied Scientist
Normalized Title
Statusactive
Activeyes
Location TextVancouver, British Columbia
DepartmentFinance
Team
Employment Type
Workplace Type
Remote Policy
CountryCanada
RegionBC
CityVancouver
Salary Rawsalary range of CAD $140,000–$180,000 plus stock options, designed to recognize your expertise and align your success
Salary Min140,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/aperaaiinc/jobs/5102577007
Apply URLhttps://job-boards.greenhouse.io/aperaaiinc/jobs/5102577007
First Seen At2026-05-29 22:42:24Z
Last Seen At2026-06-06 07:34:24Z
Last Checked At2026-06-06 07:34:24Z
Last Changed At2026-05-29 22:42:24Z
Inactive At
Source Posted At2026-04-08 17:20:53Z
Source Updated At2026-04-29 22:42:49Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=aperaaiinc/date=2026-06-06/2026-06-06T07-34-24-145Z-4a3dc1b778f36b8ee9ac84e9885cecc2c38e121735779d7478bacefb1c029045.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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