Software Engineer II - Machine Learning Job at Uber (New York)

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

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

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

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

Software Development Engineer II

A leader in vision AI solutions for the world’s leading retailers. Transforming ...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

2-3 years of work experience in a relevant role
Bachelors degree or equivalent focusing on the computer science field is preferred
In-depth knowledge of Python
Comfortable working with UNIX like environments
In-depth knowledge of advanced concepts like microservices and distributed systems
Hands-on experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or other equivalent cloud environments
Understanding of basic monitoring services (e.g., CloudWatch, Azure Monitor, Prometheus, Grafana)
Proven ability to deploy, package, manage, and monitor applications in a cloud environment (e.g., Docker, CI/CD pipelines)
Strong interest in machine learning, data science, or related fields
Broad understanding of the software engineering and architecture space, including knowledge of various programming languages, frameworks, techniques, and industry trends in AI

Job Responsibility

Design and develop new features and functionalities
Design and implement reusable, testable, efficient, and elegant code based on requirements
Create, maintain, and run unit tests for both new and existing applications and services
Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
Create and maintain CI/CD integration using various tools
Evaluate and integrate third-party software solutions to optimize system performance
Update and track third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitor production logs to identify and troubleshoot issues promptly
Responsible for creating, maintaining, and updating technical documentation

Fulltime

Backend Software Development Engineer - II

We are looking for a Backend Software Development Engineer to join our team and ...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

Minimum 2-4 years of relevant experience in backend development
Strong proficiency in Python and/or Kotlin (must have experience in at least one of these languages, and knowledge of the other is a plus)
Experience with backend frameworks like Django, Flask, FastAPI (for Python) or Spring Boot, Ktor (for Kotlin)
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deployment and infrastructure
Strong knowledge of SQL (PostgreSQL, MySQL) and experience in database partitioning and optimization strategies
Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus
Experience with containerization tools like Docker and orchestration with Kubernetes
Strong version control skills using Git
Expertise in asynchronous programming concepts and extensive experience with task queues (e.g., Celery, Redis Queue, Sidekiq)
Expertise in continuous integration/continuous deployment (CI/CD) tools like Jenkins, GitLab CI, CircleCI, or Travis CI

Job Responsibility

Work on multiple projects, coordinating dependencies and interactions with internal teams and external partners
Design and develop large multi-tenant applications using Python/Kotlin
Follow best practices for Python/Kotlin development and ensure they are adhered to across the codebase
Build reusable backend libraries and modules for future use
Translate design and wireframes into high-quality, maintainable code
Write unit tests and adhere to test-driven development (TDD) practices
Collaborate with QA teams to assist in writing automated integration tests
Stay up to date with current and future backend technologies and architecture.

What we offer

Work with some of the brightest minds in the industry
Drive digital transformation in logistics
Foster an entrepreneurial culture where innovation, impact, and career growth go hand in hand.

Fulltime

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...

Location

India , Hyderabad

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment

Job Responsibility

Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations

Machine Learning Engineer II

Xometry is looking for a Machine Learning Engineer II who is excited about advan...

Location

Brazil , Sao Paulo

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

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

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

Machine Learning Engineer II

Xometry is looking for a Machine Learning Engineer II who is excited about advan...

Location

Argentina , Buenos Aires

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

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

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

Senior Software Engineer II, ML Platform

Dandy is building the operating system for dental offices around the world. As a...

Location

Brazil

Salary:

Not provided

Dandy

Expiration Date

Until further notice

Requirements

5+ years of experience as a Machine Learning Engineer or Software Engineer, ideally within a high-growth startup environment
Deep proficiency in building and operating ML platform components, including feature stores, model registries, distributed training infrastructure, and experiment tracking
Experience designing and running ML systems on cloud infrastructure, including containerization and orchestration technologies such as Docker and Kubernetes, and public cloud platforms (AWS or GCP or Azure)
Expertise in large-scale data processing, with proven experience building reliable ML data pipelines to support complex model training and evaluation
Experience creating and maintaining automated build, test, and deployment workflows across multiple environments (e.g., Buildkite, CI/CD pipelines)
Strong background in observability, including implementing metrics, logging, and tracing for complex, distributed production systems
Ability to communicate clearly and concisely about complex architectural problems and propose iterative, pragmatic solutions

Job Responsibility

Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements
Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt
Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner
Write clean, maintainable code and tests that set the standard for our internal best practices
Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar

What we offer

Healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Software Engineer II - Machine Learning

Uber

Location:
United States , New York ▼
Seattle
San Francisco
Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 14, 2026

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