Senior Machine Learning Engineer

Calance; Los Angeles (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Calance is seeking a Senior Machine Learning Engineer to design, deploy, and optimize ML/NLP workflows using classical ML, GenAI, and related technologies. You will build scalable pipelines and models for legal and business processes in a Global Services Office, with a hybrid in-office schedule.

Ideal candidates have 5+ years in ML/AI, strong Python experience, and hands-on work with PyTorch, TensorFlow, and deployment tools. Collaborative, cross-functional teamwork is essential.

Qualifications

• Bachelor's and Master's degrees in a related field.
• Minimum five years' industry experience in ML/AI or data science.
• Minimum five years of Python industry experience.
• Minimum three years of experience working with agile teams.
• Experience building and productizing ML models and systems.

Responsibilities

• Contribute to the full lifecycle of AI/ML applications from concept to support.
• Develop and maintain robust ML pipelines for training, validation, and deployment.
• Collaborate with DevOps/infrastructure teams to manage GPU resources, model serving frameworks, and CI/CD workflows.
• Evaluate and integrate new research, tools, and frameworks to advance capabilities.
• Develop GenAI/ML solutions professionally, adhering to schedules and firm procedures.
• Protect and maintain highly sensitive, confidential, or proprietary information.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

LangChain

GPT/LLMs

Agile methods

Education

Bachelor's degree in information systems, computer science, engineering, data science, or related field

Master's degree in information systems, computer science, engineering, data science, or related field

Tools

TorchServe

ONNX

Triton

Job description

The Senior Machine Learning Engineer is an integral part of the Technology & Information Services team. This role will be responsible for the design, deployment, and optimization of custom workflows using classical machine learning (ML), Natural Language Processing (NLP), and Generative AI techniques to enhance legal and business processes, while designing, building, and optimizing custom machine learning models and workflows to optimize legal and business workflows. This role will be located in our Global Services Office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

Other key responsibilities include:

• Contributing to the entire lifecycle of AI/ML applications including concept, design, test, release, and support
• Developing and maintaining robust ML pipelines for training, validation, and model deployment
• Working with DevOps or infrastructure teams to manage GPU resources, model serving frameworks, and CI/CD workflows
• Evaluating and integrating new research, tools, and frameworks to advance the team’s capabilities
• Developing ML/GenAI solutions in a professional manner, and in accordance with established deliverable schedules and firm procedures
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that is retained.

We'd love to hear from you if you:

• Demonstrate proficiency with Python including experience with libraries and frameworks relevant to GenAI application development (e.g., LangChain)
• Exhibit proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), and serving tools (e.g., TorchServe, ONNX, Triton)
• Display proficiency in training or fine-tuning language models (e.g., BERT, Llama2, GPT), and their optimization (LoRA, knowledge distillation, pruning, and quantization)

And have:

• A bachelor's degree and master's degree in information systems, computer science, engineering, data science, or a related field, preferably
• A minimum of five (5) years of experience in industry roles focused on machine learning, applied AI, or data science
• A minimum of five (5) years of Python industry experience
• A minimum of three (3) years of experience working with agile teams
• Experience building and productizing ML models and systems