Machine Learning Engineer – Data and AI

This job is with Fisher Investments, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

It's an exciting time to join Fisher Investments! We are expanding our AI capabilities to support our international growth. We are looking for a Machine Learning Engineer who will build and optimize scalable AI applications that integrate deeply with business processes.

The Opportunity :

The Machine Learning Engineer will design, implement, and optimize production-ready ML models, working closely with data scientists and engineers to deliver innovative AI solutions. You will ensure that models are performant, maintainable, and seamlessly integrated with enterprise systems. You will report to the Vice President, Technology Innovation.

The Day-to-Day :

Build and deploy machine learning models into production environments

Optimize model training and inference pipelines for performance and scalability

Collaborate with data engineers to design robust feature pipelines

Leverage APIs and microservices for integrating AI models into enterprise applications

Ensure models are explainable, reliable, and compliant with regulatory requirements

Work with cloud-native ML services (Azure ML, Kubernetes, Docker)

Research and implement state-of-the-art ML methods for business applications

Apply NVIDIA NIMs for model optimization and scaling, and use NeMo services for model development and fine-tuning

Your Qualifications :

10+ years experience developing data-related solutions and software

5+ years of experience as an ML Engineer or Software Engineer with ML focus

5+ years of proficient experience with Python, strong experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience with distributed training and optimization on GPUs (CUDA, RAPIDS)

Familiarity with data pipelines (Spark, Databricks, Kafka)

Hands-on experience with CI / CD for ML workflows and container orchestration (Docker, Kubernetes)

Strong knowledge of algorithms, data structures, and ML system design

Practical experience deploying on Azure AI services, and use NVIDIA NeMo and NIMs for LLM and generative AI workloads

Bachelor's degree in Computer Science, Machine Learning, or related field

Compensation :

$175,000 - $215,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience

Eligible for a discretionary bonus based on firm and individual performance

Why Fisher Investments :

We work for a bigger purpose : bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like :

100% paid medical, dental and vision premiums for you and your qualifying dependents

A 50% 401(k) match, up to the IRS maximum

20 days of PTO, plus 10 paid holidays

Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care

This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

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