CrawlJobs Logo

Machine Learning Operations Engineer II

kensho.com Logo

Kensho Technologies

Location Icon

Location:
United States , Cambridge

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

130000.00 - 175000.00 USD / Year

Job Description:

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. The MLOps team is the de facto ML platform team at Kensho. Our team’s mission is critical: empower our ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.

Job Responsibility:

  • Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable
  • Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions
  • Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products
  • Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
  • Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem
  • Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents
  • Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues
  • Stay at the frontier by actively tracking emerging tools and frameworks, promote best practices and strengthen the technical expertise of the team with your unique skill set

Requirements:

  • 2+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset
  • Experience managing distributed systems with Kubernetes
  • Cloud Platform (AWS) understanding
  • Python proficiency
  • Familiarity with distributed computing frameworks and workflow orchestration (ie. Ray, Airflow)
  • Familiarity with software engineering best practices in an ML context
  • Some basic understanding of ML concepts, LLMs and agents
  • Ability to debug distributed systems across infrastructure, networking and application layers
  • Excellent communication skills to drive adoption of new tools and best practices across multiple teams
  • Someone who’s very curious, driven, low-ego and eager to learn across a range of engineering disciplines

Nice to have:

  • Experience with Agentic AI systems, tools, frameworks and workflows
  • Experience with running workflows on Ray
  • Experience with MCP server patterns
What we offer:
  • Medical, Dental, and Vision insurance
  • 100% company paid premiums
  • Unlimited Paid Time Off
  • 26 weeks of 100% paid Parental Leave (paternity and maternity)
  • 401(k) plan with 6% employer matching
  • Generous company matching on donations to non-profit charities
  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
  • Plentiful snacks, drinks, and regularly catered lunches
  • Dog-friendly office (CAM office)
  • Bike sharing program memberships
  • Compassion leave and elder care leave
  • Mentoring and additional learning opportunities
  • Opportunity to expand professional network and participate in conferences and events

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning Operations Engineer II

Software Development Engineer II – Machine Learning Operations

We are seeking a Full-Stack Engineer to be a key member of the Everseen ML Opera...
Location
Location
Serbia , Belgrade
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2-3 years of work experience in a relevant role and global SaaS company
  • Experience in ML infrastructure, MLOps, or Platform Engineering
  • Strong programming skills, with experience in Front-End development, in React and Angular
  • Understanding ML lifecycle, model versioning, and monitoring
  • Experience with back-end frameworks on top of NodeJS ( NestJS )
  • Hands-on experience with Kubernetes, Docker, and cloud services
  • Experience with CI/CD tools (e.g., GitLab, Jenkins)
  • Excellent communication and collaboration skills
  • Experience with Infrastructure as Code (e.g., Terraform)
  • Possesses a comprehensive understanding of technical concepts and terminology relevant to Everseen's products and services
Job Responsibility
Job Responsibility
  • Design and develop new features and functionalities
  • Ensure that the developed solutions meet project objectives and enhance user experience
  • Design and implement reusable, testable, efficient, and elegant code based on requirements
  • Ensure adherence to coding standards and best practices
  • Create, maintain, and run unit tests for both new and existing applications and services
  • Aim to deliver defect-free and well-tested solutions
  • Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
  • Utilize data analysis to identify trends, patterns, and potential areas for improvement
  • Create and maintain CI/CD integration using various tools
  • Automate the build, test, and deployment processes to ensure efficiency and reliability
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer II

Xometry is looking for a Machine Learning Engineer II who is excited about advan...
Location
Location
Brazil , Sao Paulo
Salary
Salary:
Not provided
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor’s degree is required
  • An advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
  • Experience deploying and maintaining machine learning models in production environments
  • 4+ years of experience in machine learning, focusing on data engineering and/or data science
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling
  • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
  • Familiar with software engineering principles, including version control, reproducibility, and continuous integration
Job Responsibility
Job Responsibility
  • Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations
  • Analyze large datasets to extract meaningful patterns and insights
  • Collaborate with cross-functional teams to integrate machine learning models into production systems
  • Learn and apply best practices in model evaluation, performance tuning, and deployment
  • Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture
  • Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals
  • Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks
  • Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry
Read More
Arrow Right

Machine Learning Engineer II

Xometry is looking for a Machine Learning Engineer II who is excited about advan...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
  • Experience deploying and maintaining machine learning models in production environments
  • 4+ years of experience in machine learning, focusing on data engineering and/or data science
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling
  • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
  • Familiar with software engineering principles, including version control, reproducibility, and continuous integration
Job Responsibility
Job Responsibility
  • Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations
  • Analyze large datasets to extract meaningful patterns and insights
  • Collaborate with cross-functional teams to integrate machine learning models into production systems
  • Learn and apply best practices in model evaluation, performance tuning, and deployment
  • Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture
  • Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals
  • Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks
  • Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry
Read More
Arrow Right

Machine Learning Engineer II

In our ML and Science division, we strive to make magic within Uber’s marketplac...
Location
Location
United States , New York; Seattle; San Francisco; Sunnyvale
Salary
Salary:
171000.00 - 190000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, Master or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
  • 2 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
  • Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
  • Experience with any of the following: Spark, Hive, Kafka, Cassandra
  • Experience building and productionizing innovative end-to-end Machine Learning systems
  • Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
  • Experience working with cross-functional teams(product, science, product ops etc)
Job Responsibility
Job Responsibility
  • Build statistical, optimization, and machine learning models
  • Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
  • Optimize Uber’s background check spend and onboarding funnel
  • Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
  • Develop matching algorithms for driver to driver mentorship program
  • Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
  • Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
  • Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Machine Learning Engineer II

The Marketplace Signals team at Uber is responsible for building and optimizing ...
Location
Location
United States , San Francisco
Salary
Salary:
171000.00 - 190000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. in Statistics, Mathematics, Computer Science, or Machine Learning
  • 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
  • Strong problem-solving skills, with expertise in ML methodologies
  • Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
  • Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
  • programming languages such as Python, Spark SQL, Presto, Go, Java
Job Responsibility
Job Responsibility
  • Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts)
  • Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized
  • Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases
  • Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals
What we offer
What we offer
  • Bonus program
  • Equity award
  • Other types of compensation
  • 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Tool Room Associate II

As a Tool Room Associate II, you will be responsible for supporting operations w...
Location
Location
United States , Batesville
Salary
Salary:
62116.00 - 77646.00 USD / Year
batesville.com Logo
Batesville Canada ULC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • High school diploma or general education degree (GED)
  • 7 or more years related experience and/or training
  • or equivalent combination of education and experience
  • Demonstrated learning agility
  • Excellent understanding of machining processes and safety controls
Job Responsibility
Job Responsibility
  • Verifies conformance of parts to detailed drawings
  • Verifies alignment and tolerances of moving parts
  • Tests operation of assembly by hand
  • Assembles, sets up, and operates machine to verify functioning, machine capabilities, and conformance to customer's specifications
  • Support operations by designing and building parts, equipment, weld tooling, gauges, fixtures, etc.
  • Troubleshoot and repair tooling, gauges, fixtures, etc.
  • Communicate with management, engineers, technicians, and production personnel
  • Direct and/or participate in lean manufacturing projects for improvement in quality, cost and delivery
  • Sharpening of drill bits and other perishable tooling to support production needs
  • Responsible for inventory of perishable tooling
What we offer
What we offer
  • Comprehensive medical, dental and vision insurance
  • prescription coverage
  • short-term disability
  • Employee Assistance Program (EAP)
  • Generous 401K Matching Program
  • Paid time off
  • Opportunities for development and advancement
  • Fulltime
Read More
Arrow Right

Tool Room Associate II

As a Tool Room Associate II, you will be responsible for supporting operations w...
Location
Location
United States , Batesville
Salary
Salary:
62116.00 - 77646.00 USD / Year
batesville.com Logo
Batesville Canada ULC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • High school diploma or general education degree (GED)
  • 7 or more years related experience and/or training
  • or equivalent combination of education and experience
  • Demonstrated learning agility
  • Excellent understanding of machining processes and safety controls
Job Responsibility
Job Responsibility
  • Verifies conformance of parts to detailed drawings
  • Verifies alignment and tolerances of moving parts
  • Tests operation of assembly by hand
  • Assembles, sets up, and operates machine to verify functioning, machine capabilities, and conformance to customer's specifications
  • Support operations by designing and building parts, equipment, weld tooling, gauges, fixtures, etc.
  • Troubleshoot and repair tooling, gauges, fixtures, etc.
  • Communicate with management, engineers, technicians, and production personnel
  • Direct and/or participate in lean manufacturing projects for improvement in quality, cost and delivery
  • Sharpening of drill bits and other perishable tooling to support production needs
  • Responsible for inventory of perishable tooling
What we offer
What we offer
  • Comprehensive medical, dental and vision insurance
  • prescription coverage
  • short-term disability
  • Employee Assistance Program (EAP)
  • Generous 401K Matching Program
  • Paid time off
  • Opportunities for development and advancement
  • Fulltime
Read More
Arrow Right

Engineering Manager II, Data & ML Systems

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience and proven experience as a Software or Data Engineering Manager, leading teams that deliver large-scale data infrastructure or platform solutions
  • Deep technical expertise in distributed data systems, including data ingestion, transformation, storage, and streaming
  • Working knowledge of machine learning workflows and supporting infrastructure (e.g., feature engineering, model training, deployment, and monitoring)
  • Strong leadership, communication, and cross-functional collaboration skills — especially when partnering with analytics, data science, and product teams
  • Demonstrated ability to set vision, define roadmaps, and deliver data-driven solutions that support analytics and ML applications
  • Passion for mentoring engineers and fostering an environment of learning, innovation, and accountability
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 10+ years of experience
Job Responsibility
Job Responsibility
  • Lead a high-performing team of data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech
  • Drive the architecture and delivery of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases
  • Collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications
  • Provide technical leadership in data architecture, ETL design, model training pipelines, and productionization of ML workflows
  • Identify opportunities to use data and ML to solve key business challenges, improve efficiency, and unlock new capabilities across payments, compliance, and financial systems
  • Promote a culture of technical excellence, encouraging best practices in system design, testing, observability, and maintainability across both data and ML domains
  • Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture where teams can experiment, learn, and grow
  • Ensure reliability and scalability of FinTech data and ML systems through strong engineering discipline and well-defined operational practices
Read More
Arrow Right