トレンド企業

Cargill
Cargill

Multinational food company.

AI/ Machine Learning Engineer - (ATL or MSP)

職種機械学習
経験ミドル級
勤務地Atlanta, Georgia, United States
勤務オンサイト
雇用正社員
掲載1週間前
応募する

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.

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

Cargillについて

Cargill

Cargill

Public

Multinational food company.

10,001+

従業員数

Minnetonka

本社所在地

$134B

企業価値

レビュー

10件のレビュー

3.3

10件のレビュー

ワークライフバランス

3.5

報酬

3.2

企業文化

3.8

キャリア

3.5

経営陣

2.8

65%

知人への推奨率

良い点

Good corporate culture and team environment

Good benefits and compensation

Safety emphasis and good work environment

改善点

Management issues and high turnover

Non-competitive salary

High stress and overwhelming expectations

給与レンジ

268件のデータ

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist

0件のレポート

$210,000

年収総額

基本給

$190,000

ストック

-

ボーナス

$20,000

$178,500

$241,500

面接レビュー

レビュー2件

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

よくある質問

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge