Software Engineer (Leadership) - Machine Learning Job at Meta (Zurich)

Software Engineer (Technical Leadership) - Machine Learning

Meta is seeking talented principal engineers to join our teams in building cutti...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Software Engineer (Technical Leadership) - Machine Learning Specialist

Meta is seeking Machine Learning Engineers to join our engineering team. The ide...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Software Engineer, Machine Learning - Credit & Refund Optimization

Join the team focused on building intelligent, personalized systems that drive f...

Location

United States , San Francisco

Salary:

137100.00 - 299300.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

3+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inference
Deep expertise in statistical modeling and causal inference (e.g., uplift modeling, treatment effect estimation, synthetic controls, instrumental variables)
Experience designing and deploying optimization algorithms (e.g., multi-objective optimization, bandits, constrained optimization)
Proficiency in Python and ML tooling such as PyTorch, Spark, and MLflow
A strong product sense and ability to translate business objectives into technical solutions
M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics)
Excellent communication skills and a track record of cross-functional leadership

Job Responsibility

Designing and deploying causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior
Developing optimization frameworks that balance customer experience with operational cost, under policy and budget constraints
Building personalized decision systems that adapt to customer preferences and platform dynamics in real time
Collaborating with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experience
Leading end-to-end model development, including experimentation, deployment, monitoring, and iteration

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off
paid sick leave
medical benefits
dental benefits
vision benefits
11 paid holidays

Fulltime

Sr Software Engineer - Machine Learning

We are building the future of Uber's mobility and logistics platforms. As a soft...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience
Proficiency in at least one programming language such as Java, C++, Python, or Go
3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.

Job Responsibility

Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies
Leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems
Design, build, and deploy scalable machine learning models to production to solve real-world business problems
Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Write clean, testable, and efficient code to ensure models run with low latency and high reliability
Implement monitoring systems to track model performance, stability, and data drift in live environments
Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits (see link)

Fulltime

Staff Software Engineer - Traffic Machine Learning

Engineering at Uber means building for real-world impact under real-world constr...

Location

Netherlands , Amsterdam

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Proficiency in building and maintaining high-scale data pipelines using systems like Flink or Spark
Experience with data analysis techniques and the ability to reason about system performance, headroom, and data quality
Experience leading major technical initiatives from inception through to production and maintenance
Ability to work across multiple technical domains in parallel, zooming into code-level details and out to system-level strategy
Ability to lead through others, driving results from more junior engineers on the team

Job Responsibility

Design, build, and maintain data pipelines that process real-time road data at a global scale, where every millisecond of latency impacts millions of ETAs
Lead technically complex initiatives, such as re-architecting our incident and closure detection systems to improve accuracy and reaction time
Solve messy, high-impact problems—like optimizing the interface between traffic and routing—often without a clear starting point or obvious solution
Navigate the trade-offs between short-term tactical fixes and long-term architectural stability while keeping our Maps ecosystem running smoothly
Own your work end-to-end, from drafting the multi-year technical vision for traffic domains to debugging production issues when the stakes are high
Collaborate cross-functionally with Data Scientists, Product Managers, and Engineering peers to translate complex business needs into robust, scalable software
Champion engineering best practices like code health and design clarity, even when the pace is fast and priorities shift
Mentor and unblock other ICs on the team, raising the bar for technical excellence through thoughtful design reviews and leadership by example

Fulltime

Senior Software Engineer | Computer Vision & Machine Learning

We are looking for a seasoned, hands-on Software Engineer with deep expertise in...

Location

Germany; Spain , Mannheim; Valencia

Salary:

Not provided

HUBBLR GmbH

Expiration Date

Until further notice

Requirements

4+ years of professional experience building ML/CV applications in Python
Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment
Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow
CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar
Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment
Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient
Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly
Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients
Location: Ability to work from our Mannheim or Valencia office in a hybrid model

Job Responsibility

Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection
Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure
Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects
Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices
Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines

What we offer

High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses
Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges
A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently
Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character

Fulltime

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Lead Machine Learning Engineer

Lead Machine Learning Engineer At Capital One, we are changing banking for good...

Location

United States , Cambridge, Massachusetts; Richmond, Virginia; McLean, Virginia

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

What we offer

Performance based incentive compensation
cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

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Software Engineer (Leadership) - Machine Learning

Job Description

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