Software Engineer (AI/ML)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 87d ago
The date the source published, not the day we noticed it (2026-08-06). Last seen at its source 4h ago.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
Remote - Canada
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay
CA$128k–158k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 59d ago · last seen 4h ago
The listing
Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.
SUMMARY
Join a new engineering team built under the SVP, Engineering & AI/ML to accelerate Blackpoint Cyber's ML/AI capability. As a Software Engineer on this team, you'll build back-end systems and data pipelines within established architecture, working cross-functionally and growing your applied ML and Generative AI skills under the SVP's direct mentorship.
RESPONSIBILITIES
Build and maintain back-end services (Python, Node.js/Go) on Kubernetes within established architectural patterns.
Contribute to GenAI workflows
Contribute to data pipelines supporting AI/ML workflows, exercising judgment within defined engineering practices.
Build and consume APIs (REST, GraphQL, or gRPC) for secure, scalable services.
Collaborate with senior engineers on design decisions; take on new assignments with general guidance rather than owning architecture calls solo.
Participate in code review and cross-functional project work under senior engineer or team lead direction.
REQUIREMENTS
3-5 years of back-end software engineering experience.
Python required. Familiarity with TypeScript and/or Java.
Experience with microservices on Kubernetes.
Solid understanding of database design across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB).
Working knowledge of ML/AI concepts and workflows — we're open to strong back-end engineers earlier in their ML journey, with growth in this area actively supported through direct mentorship from the SVP, Engineering & AI/ML.
Understanding of back-end security fundamentals (API security, auth/authz basics).
Comfortable in an Agile environment.
NICE TO HAVE
Cloud infrastructure (AWS); data streaming basics (Kafka, Spark).
Exposure to LLM/agentic AI tooling.
Cybersecurity, IoT, or NLP domain experience (not required).
Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment.
For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks. International employees receive competitive benefits in accordance with local market standards and applicable country requirements.
Blackpoint believes all employees should share in the company’s success – equity participation is available to employees globally, with program details varying by location and employment structure.