Join Arena as a Machine Learning Engineer to scale AI evaluation systems with a mission-driven team.
Posted by employer 5 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Architect and build core modeling for data and evaluation products
- Own the full stack data, model training, and eval pipelines
- Conduct research into state-of-the-art evaluation methods
Must have
- Strong programming skills
- Experience in deep learning
- 4+ years of industry experience
Nice to have
- Experience in working with LLM for fine tuning
- Self-motivated with a willingness to take ownership
AI in the day-to-day
Engineers will help define how cutting-edge AI is assessed in real-world workflows.
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Machine Learning Engineer at Arena Intelligence focuses on enhancing the infrastructure for evaluating AI models in real-world scenarios. This role requires strong programming skills and experience with deep learning and language models, as the engineer will work on data pipelines, model training, and evaluation methodologies. Ideal candidates have over four years of industry experience and a solid grasp of statistical evaluation techniques. As one of the first engineers on the team, this position offers a chance to influence the development of a scalable evaluation platform.
Joblaze insights
- Listed today — first seen on Joblaze November 14, 2026. Last confirmed on Arena's careers page November 14, 2026.
- Python appears in 49.3% of 471 comparable mid ai/ml roles in United States; Language Models appears in 0.2% of 471 comparable mid ai/ml roles in United States.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Machine Learning Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, LLM, Language Models, Python, Statistics.
- What seniority level is this role?
- Arena targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer role at Arena.
From the original posting
About the Role
Arena Intelligence is seeking a Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You’ll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, and new evaluation methodologies. This is an opportunity to apply your technical expertise to a platform trusted by millions, and to help define how cutting-edge AI is assessed in the wild.
As one of the first ML engineers on the team, you’ll partner closely with researchers, engineers, and product leadership to turn new ideas into reliable systems. You’ll help us move fast while staying rigorous, improving reproducibility, scaling up to new modalities, and deepening our ability to understand and compare frontier models.
You’ll
Architect and build what will become our core modeling for data and evaluation products
Own the full stack data, model training, and eval pipelines
Help grow a culture of feedback and rapid product iteration as we build new features as a tight-nit team
Conduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform.
You’ll have
Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
Experience in deep learning, language models or reward model training
Experience in working with LLM for fine tuning, prompt engineering, function calling etc
Self-motivated with a willingness to take ownership of tasks
A passion for shipping quality products
4+ years of industry experience or relevant projects
Solid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shipped
What we offer
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Standard company text repeated across Arena's postings is omitted here.