
Retail company.
Sr Engineer - Cybersecurity AI Activation and Engineering
The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
About us:
Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.
Target as a tech company? Absolutely. We’re the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. We anchor every facet of one of the world’s best-loved retailers with a strong technology framework that relies on the latest tools and technologies—and the brightest people—to deliver incredible value to guests online and in stores. Target Technology Services is on a mission to offer the systems, tools and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration, and we pride ourselves on being versatile, agile and creative. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely and reliably from the inside out.
As a Sr Engineer on the Cybersecurity AI Activation and Engineering team, you work closely with cybersecurity teams to understand their existing operational processes, applications and systems, and contributing to new AI-powered capabilities consistent with Target standards. An understanding of cybersecurity challenges is important as you work with teams. You will need to use your technology acumen to apply and maintain knowledge of current and emerging AI technologies within the specialized cybersecurity domain. Evaluate new AI technologies and capabilities to participate in decision-making and provide technical guidance to include viability within Target’s environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies.
In this role, you will serve as a key technical resource for engineering initiatives. You develop and contribute to application designs that best serves the product in its functional and non-functional needs. You are an expert in programming and apply your skills in developing the product. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.
You will work cross functionally across teams to provide thought leadership to promote re-use and develop consistent, scalable patterns. Participate in planning services and applications that have broad impact. Contribute to foundational capabilities to enable AI or machine learning activities. You will be looked upon to provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with stakeholders, and conduct in-depth analysis of information.
Establish new standards and best practices for AI systems to monitor, test, automate, and maintain with special considerations for LLMOps, solution reliability, and sustainability. The AI space is evolving rapidly and we need strong technologists with a passion to stay current with industry and Target’s growing technical capabilities, infrastructure, frameworks, and environment. This role will also provide working patterns, templates, guidance, and influence data standards, policies, and procedures.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
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Demonstrated history of rapid prototyping, development and iterative delivery with tight coordination with internal customers
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Experience integrating AI and ML capabilities into production solutions
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Experience with AI-driven CLI coding assistants
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Experience working with Lang Chain, Lang Graph, Google ADK, and Huggingface models
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Prefer a full stack engineer who can prototype end to end solutions to include UI and backend components
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Knowledge of cybersecurity teams, processes, and controls preferred
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4 year degree or equivalent experience
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5+ years of software development experience
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Demonstrates strong domain-specific knowledge regarding Target’s technology capabilities, and key competitors’ products and differentiating features
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Working knowledge on package-specific configuration and deployment along with ability to build custom solutions
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Designs new testing methods and resolves routine and non-routine technical issues with minimal assistance
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Demonstrates strong proficiency in core development platforms within own domain
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Builds strong commitment within the team to support the appropriate team priorities
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Clearly communicates Agile concepts to partners within product team
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Demonstrates a solid understanding of the impact of own work on the team and/or guests
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Writes and organizes code using multiple computer languages, including distributed programming and understand different frameworks and paradigm
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Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
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Influences and applies data standards, policies, and procedures
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Maintains technical knowledge within areas of expertise
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Stays current with new and evolving technologies via formal training and self-directed education
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
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Targetについて

Target
PublicTarget Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.
10,001+
従業員数
Minneapolis
本社所在地
$78B
企業価値
レビュー
10件のレビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
3.5
経営陣
4.0
68%
知人への推奨率
良い点
Friendly coworkers and great team environment
Flexible scheduling and hours
Supportive and approachable management
改善点
Limited or insufficient hours for part-time staff
Long hours and high stress during peak/holiday seasons
Low pay and non-competitive compensation
給与レンジ
50件のデータ
Mid/L4
Senior/L5
Lead
Mid/L4 · Lead Cybersecurity Analyst
1件のレポート
$204,612
年収総額
基本給
$157,394
ストック
-
ボーナス
-
$204,612
$204,612
面接レビュー
レビュー46件
難易度
4.0
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 65%
普通 21%
ネガティブ 14%
面接プロセス
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
よくある質問
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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