Staff Software Engineer, ML Ops New New York, NY

EvolutionIQ, Inc.; Mississippi; Remote; USD 225,000 - 250,000; Full time

Job summary

An innovative firm is on the lookout for a Staff Software Engineer specializing in ML Platforms. This pivotal role involves leading the architecture and deployment of machine learning infrastructure, optimizing workflows, and ensuring robust model performance. You'll collaborate with top-tier talent to tackle complex challenges in the insurance industry, driving innovation and efficiency in ML operations. With a strong emphasis on teamwork and creativity, this position offers the chance to make a significant impact in a rapidly growing company dedicated to transforming lives through technology. If you're passionate about machine learning and eager to contribute to meaningful projects, this opportunity is for you!

Benefits

Full medical, dental, vision insurance

401k matching

Flexible vacation/PTO policy

Catered lunches

Happy hours

Pet-friendly office

$500 for home office setup

$1,000/year for professional development

100% paid parental leave

Sleep training for new parents

Qualifications

• 8+ years in software development focusing on AI/ML applications.
• Experience in technical leadership and shipping products at scale.

Responsibilities

• Design and launch scalable ML and data processing systems.
• Lead deployment of models through REST and gRPC APIs.

Skills

Machine Learning

Software Development

Python

MLOps

Data Processing

Model Monitoring

Technical Leadership

Cloud Platforms

Orchestration Frameworks

Creativity

Education

Bachelor's Degree in Computer Science

Master's Degree in Mathematics

Tools

Prometheus

Grafana

Dagster

Airflow

Job description

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!

At EvolutionIQ, we are bringing together world-class technical talent who want to invent, solve, and create in an entirely new technology category. For our experts in machine learning, data science, applications, and technology integration, cracking the insurance industry’s previously ‘impossible’ big data problem with deep learning AI is our version of summiting K2 or Everest.

We are seeking a highly skilled and motivated Staff Software Engineer - ML Platform to lead the architecture, deployment, and scaling of our machine learning (ML) and artificial intelligence (AI) infrastructure. This role combines deep technical expertise with strategic impact to drive innovation in the ML pipeline, optimize end-to-end workflows, and ensure robust deployment in production environments. As a Staff ML Platform Engineer, you will collaborate closely with machine learning engineers and senior leadership to streamline experimentation, improve model observability, and enhance overall system performance. You’ll play a pivotal role in setting the MLOps standards across the organization.

In this Role, You Will:

• Design, build, and launch scalable ML and data processing systems supporting multi-machine data processing (e.g., MapReduce), GPU/TPU model training, and automated model monitoring systems on cloud platforms.
• Automate model lifecycle management, including training, evaluation, and deployment, to enable fast, safe, and consistent updates across environments.
• Introduce modern, scalable frameworks for model monitoring, feature engineering, hyperparameter tuning, and continuous re-training, ensuring robust model performance over time.
• Lead the deployment of models through REST and gRPC APIs, enabling smooth integration with application frontends and real-time user interaction.
• Continuously research, evaluate, and implement the latest MLOps tools, frameworks, and platforms to improve efficiency, scalability, and reliability of ML operations.
• Implement and manage monitoring systems to track model and data performance, proactively identifying and mitigating issues using tools like Prometheus and Grafana.
• Apply best practices in secure data handling and model integrity within ML workflows, ensuring regulatory and security compliance norms.
• Share MLOps knowledge and improvements in ML engineering workflows through internal training sessions and presentations.

Support the next phase of ML pipeline development, focusing on building, maintaining, and monitoring pipelines to handle 10-100x increases in data volume.

We are looking for someone who…

• Exudes our ambitious, collaborative, and empathetic values
• Holds yourself to high standards, ensuring high quality and passion for the field in which you operate
• Remains agile and moves between rapid prototyping and stable production development
• Writes design documents, performs code reviews, and maintains state of the art engineering practices
• Is open to giving and receiving critical feedback
• Believes in the mission of the company, cares about fundamental fairness
• Has enthusiasm for team work and pair work
• Is kind, empathetic, polite, and professional
• Utilizes data and metrics to drive decision-making, ensuring that the ML platform is optimized for performance, reliability, and scalability.
• Proactively identifies and addresses bottlenecks in the ML pipeline, leveraging their expertise to develop and implement innovative solutions that enhance productivity and performance.

Requirements:

• Technical Skills
• 8+ years of software development experience with a focus on platform development with AI/ML applications of scale
• Experience in providing technical leadership to ML Infra / ML Platform teams.
• Experience in shipping products at scale.
• Expertise in clean and efficient coding with a focus on Python.
• Experience with orchestration frameworks such as Dagster/Airflow
• Expertise in one or more Cloud platforms (GCP preferred but not required)
• Bachelor’s Degree or higher in Computer Science, Mathematics, or related field
• Soft Skills
• Excellent document writing skills (additional to presenting results through Jupyter notebooks)
• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

Compensation: The range is $225-250K with flexibility depending on a candidate’s background and experience plus meaningful equity (stock options).

Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%

Work/Life Balance: For this role we are hoping this person can work out of the NYC office regularly with much of our leadership with flexibility. We also have a flexible vacation/PTO policy.

Home & Family: 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn

Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup

Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally

Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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