About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology / AI & Machine Learning Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

What You’ll Do

This is an entry-level AI & Machine Learning Engineer role focused on building practical, employer-ready skills. You will work on real-world projects and tools that connect programming, data, and machine learning to deliver usable AI features.

• Implement and iterate on machine learning models and data pipelines using Python.
• Preprocess and analyze structured and unstructured data for modeling (text / basic NLP tasks).
• Integrate third-party APIs and ML frameworks to build end-to-end AI-powered features.
• Evaluate model performance, run experiments, and document results for stakeholders.
• Collaborate with engineers and non-technical team members to translate use cases into model requirements.
• Produce reproducible code, tests, and clear technical notes that demonstrate how models support business needs.

---

Who You Are (Qualifications)

Minimum / required qualifications suitable for entry-level hires:

• Programming experience in Python (projects, coursework, or internships).
• Familiarity with basic ML libraries or frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
• Experience working with data (CSV, JSON), including cleaning and simple feature engineering.
• Understanding of basic machine learning concepts: training, validation, evaluation metrics.
• Good communication skills — able to explain technical output to non-technical stakeholders.
• Eagerness to learn, iterate, and receive technical feedback.

---

Nice-to-Have (Preferred)

• Coursework, projects, or internships in NLP, data pipelines, or ML model deployment.
• Experience calling and integrating REST APIs or using cloud-hosted model APIs.
• Familiarity with version control (Git) and basic software engineering practices.
• Background in statistics, math, or computer science (students and recent grads are encouraged).
• Portfolio of small ML projects, Kaggle/Colab notebooks, or GitHub examples.

---

Why This Role?

This opportunity is ideal for recent graduates, career-switchers, or junior programmers who want a clear path into AI/ML. The role emphasizes practical, demonstrable skills that employers can assess quickly — coding, data work, and model evaluation — and provides exposure to hiring expectations for junior ML positions.

---

Location & Compensation

• Location: Seattle, WA (on-site / local). Candidates must be authorized to work in the U.S.
• Estimated compensation (provided in source listing): $159,393 per year — estimated.

(If you need accommodations during the hiring process, please tell us and we will work to provide them.)

---

How We Recruit

Careertakes works as a third-party recruiting partner on behalf of our client. If you apply, your submission may be reviewed by Careertakes and shared with the confidential client and other relevant hiring teams represented by Careertakes. Any use of automated tools for initial resume screening will not replace human decision-making in final hiring choices.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.