Senior Software Engineer, ML

Angeles Investors Inc.; Remote; USD 172,000 - 215,000; Full time

Job summary

A leading tech company is seeking a Machine Learning Engineer to design and productionize intelligent systems that enhance creative teamwork. This role involves building scalable data pipelines, designing ML models, and collaborating with various engineering teams to develop impactful AI features. Ideal candidates will have over 5 years of experience in machine learning, along with proficiency in Python and modern ML tools like PyTorch and TensorFlow. The base salary ranges from $172,000 to $215,000 annually, plus benefits.

Qualifications

• 5+ years of industry experience in machine learning or applied AI.
• Proven proficiency in Python with ML toolchains.
• Experience in building and maintaining data pipelines.

Responsibilities

• Design and build ML models for generative AI features.
• Collaborate to define datasets and metrics for model quality.
• Partner with engineers to optimize systems for model training and deployment.

Skills

Machine learning

Deep learning

Python

PyTorch

TensorFlow

Data pipelines

Retrieval-augmented generation

Tools

Azure OpenAI

MongoDB

Node

React

Job description

Location

United States Remote, United Kingdom Remote

Employment Type

Full time

Location Type

Remote

Department

Engineering

ABOUT THE TEAM

The AI Innovation Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.

YOUR MISSION

We’re looking for a Machine Learning Engineer who’s excited to build intelligent systems that make creative thinking, problem-solving, and teamwork faster and more inspiring.

In this role, you’ll work at the crossroads of applied machine learning, product innovation, and scalable infrastructure. You’ll design models and systems that power smarter creation and collaboration. You’ll partner closely with a cross functional team to bring breakthrough AI capabilities directly into the Mural experience.

WHAT YOU'LL DO:

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
• Work with product engineers to define and deliver impactful AI features across Mural’s platform.
• Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
• Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Mural

WHAT YOU'LL BRING

• 5+ years of industry experience in machine learning, deep learning, or applied AI
• Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks).
• Experience building data pipelines for model training, evaluation, and continuous improvement.
• Understanding of retrieval-augmented generation (RAG), ranking systems, or multimodal architectures.
• Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
• Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.

Bonus:

• Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
• Experience working on creative or design-focused ML.

OUR STACK

Azure OpenAI, React, Node, MongoDB

The base salary + variable pay for this role ranges from $172,000 - $215,000 + benefits. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Equal Opportunity

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.