or apply directly on Agero's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Agero's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 0% of Agero's roles list one
- Ghost-job risk at Agero
- high 9 stale, 0 reposted of 10 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Agero's own greenhouse board since 2026-08-03. Full hiring picture for Agero.
About this role
The Senior Machine Learning Engineer at Agero will focus on developing and deploying machine learning models to optimize operations and improve customer satisfaction. This role involves collaborating with cross-functional teams, leading machine learning projects from ideation to deployment, and providing mentorship to junior team members. The engineer will also ensure best practices in model evaluation and stay updated on advancements in machine learning technologies.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Agero as an employer.
What you need
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- 3-5 years of experience in software application development and design
- 3-5 years experience working with Machine Learning systems
- 3-5 years of experience with AWS services (ECR, S3, SageMaker)
- 5+ years experience in Python (Pandas, Numpy, Scikit-learn)
- Experience building large, complex systems, particularly web services, RESTful APIs, and continuous integration and delivery
Nice to have
- Advanced degree preferred
- Experience with tree based models, DVC, Airflow and/or SQL
What you get
- Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families
- 401(k) plan with company match
- Tuition assistance
- Flexible time off
- Paid sick leave
- Ten paid holidays annually
Worth weighing
- No specific mention of remote work policies beyond initial onboarding travel to Medford
- Salary range provided but final salary depends on various factors
- Position not eligible for employer visa sponsorship
Summarised from Agero's posting. Read the full original.
Listed by Agero on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.