Software Development Engineer II – Machine Learning Operations Job at Everseen (Belgrade)

Machine Learning Operations Engineer II

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise ...

Location

United States , Cambridge; New York

Salary:

130000.00 - 175000.00 USD / Year

Kensho Technologies

Expiration Date

Until further notice

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

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

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

Fulltime

Machine Learning Engineer II

Uber's Marketplace is at the core of the business. The Earner Incentive team in ...

Location

United States , San Francisco; Sunnyvale

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience
2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation
Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)
Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices
Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows
Strong learning mindset, proactive ownership, and effective communication skills
ability to collaborate effectively within cross-functional teams

Job Responsibility

Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber's driver incentives
Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers
Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability
Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals
Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems
Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems
Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team's goals

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Machine Learning Engineer II

The Marketplace Signals team at Uber is responsible for building and optimizing ...

Location

United States , San Francisco

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

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

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

Bonus program
Equity award
Other types of compensation
401(k) plan
Various benefits

Fulltime

Senior Machine Learning Engineer II

As a ML Engineer at Axon, you will contribute to architecting and implementing t...

Location

United States , Seattle

Salary:

156750.00 - 250800.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms
Experience with AI on chips, on device model deployment and management
Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch
Advanced knowledge and hands-on experience with on chips development
Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
Comfort communicating and interacting with scientists, engineers and product managers

Job Responsibility

Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models
Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques
Implement on device monitoring solutions used for continuous model improvement
Implement innovative model compression solutions to enable AI at the edge
Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Employee Resource Groups (ERGs)
Snacks in our offices

Fulltime

Software Engineer Ii, Behavior Planning Ml Platform

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Pittsburgh

Salary:

126000.00 - 201000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS or higher degree in Computer Science/Engineering or related fields. > 6 months of experience
Strong programming skills in C++ or Python, ideally both
Experience with machine learning frameworks (PyTorch or TensorFlow)
Solid foundation in computer science fundamentals - especially operating system concepts including concurrency, memory management and process scheduling.

Job Responsibility

Develop large scale pipelines for data extraction, model training and model evaluation
Build and optimize onboard ML infrastructure used to deploy models and run inference onboard the vehicle
Collaborate closely with motion planning, systems engineering, and other autonomy groups to define and develop critical ML workflow requirements.

Back-End Software Engineer II

Make a difference protecting government assets! The Machine Learning Engine team...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations.  As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable
Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate's US citizenship will be verified with a valid passport.

Job Responsibility

Leverage TDD and mocking to speed up our engineering OODA loop, and use telemetry and monitoring to speed up our customer pain points OODA loop
Architects and Implements software systems to solve a variety of problems
Works with appropriate stakeholders to determine user requirements for a set of features
Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight
Creates and implements code for a product, service, or feature, reusing code as applicable
Contributes to efforts to break down larger work items into smaller work items and provides estimation
Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems
Curates deployment processes and scripts
Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
Embody our culture and values

Fulltime

Software Engineer II

We are seeking a passionate and technically skilled Software Engineer II to join...

Location

United States , Redmond

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field
2+ years of experience in data science, analytics, or applied machine learning
Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (Azure preferred) and big data technologies
Understanding of statistical modeling, predictive analytics, and experimentation design
Excellent communication and stakeholder management skills
Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence

Job Responsibility

Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models
Design skill should include scale, extensibility, performance, re-training for the ML models
Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines
Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets
Ensure the models built are operable, scalable, extensible and performant
Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders
Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems
Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization

What we offer

Certain roles may be eligible for benefits and other compensation

Fulltime

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

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Software Development Engineer II – Machine Learning Operations

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