Senior Machine Learning Ops Engineer Job at enpal (Berlin)

Senior Machine Learning Engineer – Ranking & Recommendations (Generative AI)

The Shopping Ranking Team mission is enabling eaters to effortlessly make shoppi...

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 Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience
4+ years of ML experience and building ML models
Experience working with multiple multi-functional teams(product, science, product ops etc)
Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, etc
Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc
Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone

Job Responsibility

Design and build Machine Learning models in Ranking and Recommendation domain
Productionize and deploy these models for real-world application
Review code and designs of teammates, providing constructive feedback
Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product

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 (details at provided link)

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Arrive, you will serve as a key technic...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with ML ops, model serving and optimization
5+ years of experience with Python, object oriented programming and building highly scalable backend services
Expertise in frameworks like Sklearn, Pandas, Numpy
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for ML engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
Develop a thorough understanding of a domain and explain the behavior of and contribute to code bases that may be outside your domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices

What we offer

Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program

Fulltime

Senior Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer to enhance Zalando’s Machi...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

5+ years of experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python
Proven experience productionizing ML models and orchestrating ML workflows
Experience with Databricks for scalable data processing and ML model training
Strong collaboration and communication skills

Job Responsibility

Design and build foundational ML platform components, including systems for data access, feature management, model training, deployment, and inference at scale
Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way
Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams
Implement core abstractions and APIs to standardize how ML workflows are executed - from feature creation to model rollout
Build and maintain observability and reliability tooling for ML systems - including telemetry pipelines, model health checks, and automated retraining triggers
Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery
Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60% remote per week
Work from abroad for up to 30 working days a year
27 days of vacation a year (for Zalando SE)
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Senior Manager, Machine Learning Platform

We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and...

Location

United States , Mountain View

Salary:

348913.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
5+ years of experience in Engineering or Scientific domains
5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning platform roadmap in alignment with business goals
Lead the ML platform team to design, develop, and optimize ML-based systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Senior ML Ops Engineer - Architecture & Strategy

We own the platform blueprint for our ML infrastructure: designing systems that ...

Location

Germany , Munich

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

University degree in Computer Science, Computer/Electrical Engineering or related subjects
5–8+ years in ML platform or infrastructure engineering, with at least two years in a tech lead or architect role
Deep expertise in either AWS, Azure or Google cloud, ideally with multi-region or multi-account setups
Proven track record designing systems for PB-scale data and hundreds of concurrent training jobs as well as understanding of large vision models and the challenges of compressing them for automotive-grade SoCs
Strong knowledge of Kubernetes platform design, GitOps, and infrastructure-as-code
Excellent communication skills to align ML researchers, embedded engineers, data teams, and executives
Familiarity with edge model compilation toolchains for Qualcomm (QNN, AIMET) and/or NVIDIA (TensorRT, Triton) and experience with automotive data at scale, such as MDF4, MCAP, ROS bags, and multi-sensor synchronisation

Job Responsibility

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts
You design the data-format backbone, setting standards for data flows, ingestion, cataloguing, transcoding, and partitioning at PB scale, integrated with dataset management tooling
You define the platform component topology and integration contracts for pipeline orchestration, experiment tracking, hyperparameter optimisation, dataset management, observability, and metadata
You establish model lifecycle governance, including experiment tracking, approval gates, validation criteria, and clear handoff contracts to deployment teams
You drive cost governance at PB scale, including accelerator spot strategies, S3 tiering, cross-AZ traffic reduction, and Kubernetes cluster right-sizing
You partner with Security, Legal, and Functional-Safety teams on ISO 26262, ISO 8800, and data-protection compliance

What we offer

Challenging projects with which we shape the mobility of tomorrow together
Wide range of personal and professional development opportunities
Attractive, fair and performance-related remuneration
High level of job security
Annual special payments such as vacation pay, Christmas bonus, and profit sharing
Flexible working hours including six weeks annual leave and overtime compensation
Discounted BMW & MINI conditions
Many other benefits at bmw.jobs/benefits

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , Waltham

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , North Bethesda

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

annual bonus
401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior ML Ops Engineer

Join Elsevier as a Senior ML Ops Engineer to lead the development of impactful A...

Location

United States , Philadelphia

Salary:

95300.00 - 158800.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production
Strong Python, Java, and/or Scala experience
Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google)
Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j)
Experience in evaluating LLM models
A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics
Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark
Experience with large-scale data processing systems, e.g., Spark
Experience with statistical analysis, machine learning theory and natural language processing

Job Responsibility

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)
Maintain and version model registries and artifact stores to ensure reproducibility and governance
Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment
Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML
Scale end-end custom Sagemaker pipelines
Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted
Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs
Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing
Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization
Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems

What we offer

Annual incentive bonus
Country specific benefits
Fair and accessible hiring process with accommodation support

Fulltime

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Senior Machine Learning Ops Engineer

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