
Multinational food company.
AI/ Machine Learning Engineer - (ATL or MSP)
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.
Job Purpose and Impact
- Come build the AI platform that engineers across Cargill will use every day—shipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, you’re not optimizing vanity metrics; you’re helping a global company that puts food on tables around the world deliver better, faster, safer decisions at massive scale. We’re looking for engineers with integrity (do the right thing when no one’s watching), hunger to learn (stay curious, test, iterate), and a builder mindset (prototype, harden, scale). You’ll do well here if you move work forward even with dependencies, communicate clearly, and ship value in increments—building strong relationships while finding practical paths around blockers.
Key Accountabilities
- CI/CD & RELEASE AUTOMATION:
Implements CI/CD pipelines including automated testing, evaluation checks, contract testing and controlled environment promotion to ensure reliable, repeatable and production-ready AI/ML platform and model deployments.
- PLATFORM COLLABORATION & GOVERNANCE:
Contributes to shared platform standards including API contracts, semantic versioning, repository contribution models, documentation and code reviews to enable multiple engineering teams to safely build and operate services on the platform.
- OBSERVABILITY & OPERATIONS:
Applies telemetry-first engineering practices including logs, metrics and traces to support monitoring, reliability and operational excellence. Contributes to runbooks, incident response, operational readiness and postmortems.
- SECURITY & RESPONSIBLE AI:
Implements secure-by-default practices including secrets management, least privilege access, safe logging and protections against prompt injection, tool misuse and data leakage when building and operating AI services.
Qualifications
- Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
Preferred Experience:
- Builds and operates data pipelines supporting training, evaluation, deployment and monitoring of models and AI/ML services on Sgemker.
- Experience working with AI platform components such as LLM gateways, vector databases, retrieval systems or multi-model orchestration.
- Familiarity with retrieval workflows including embedding generation, chunking strategies and scalable retrieval patterns.
- Familiarity with AI observability and evaluation tooling (for example Lang Smith or similar platforms) and integrating automated quality checks for AI systems.
- Experience implementing infrastructure-as-code using tools such as Terraform, CDK or similar technologies for managing cloud environments.
- Knowledge of cloud platform fundamentals including networking, identity management, secrets management and secure service communication.
- Experience optimizing performance, reliability and cost efficiency of AI workloads including caching strategies, model routing and workload monitoring.
- Experience using modern developer productivity tools including code assistants and AI-enabled development workflows.
Short Description
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
The expected salary for this position is $76,000- $129,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
Equal Opportunity Employer, including Disability/Vet.
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Cargill 소개

Cargill
PublicMultinational food company.
10,001+
직원 수
Minnetonka
본사 위치
$134B
기업 가치
리뷰
10개 리뷰
3.3
10개 리뷰
워라밸
3.5
보상
3.2
문화
3.8
커리어
3.5
경영진
2.8
65%
지인 추천률
장점
Good corporate culture and team environment
Good benefits and compensation
Safety emphasis and good work environment
단점
Management issues and high turnover
Non-competitive salary
High stress and overwhelming expectations
연봉 정보
268개 데이터
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist
0개 리포트
$210,000
총 연봉
기본급
$190,000
주식
-
보너스
$20,000
$178,500
$241,500
면접 후기
후기 2개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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