Senior Machine Learning Engineer Job at Deezer (Paris)

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Senior Machine Learning Engineer

IT AND R&D REMOTE - Senior Machine Learning Engineer - RTB House is a global com...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Expertise in designing and implementing complex IT systems
Ability to develop user-friendly, versatile tools
Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux
Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting
Deep understanding of algorithms and data structures
Initiative and creativity to improve existing solutions
Ability to work effectively both within and across teams
C1 level in Polish

Job Responsibility

Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment
Identifying performance bottlenecks and optimizing critical, low-level parts of the system
Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components
Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment

What we offer

Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project
Opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems
Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model
The ability to see the immediate impact of your cooperate on the company's business outcomes
The possibility of publishing your results

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Senior Machine Learning Engineer

Job Requirement – Senior Machine Learning Engineer. Location – Delhi / Bangalore...

Location

India , Delhi / Bangalore

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline
PhD’s preferred
Specialization or research in applied machine learning, MLOps, or ML systems preferred
7+ years of experience designing, developing, and deploying ML models in production environments
4+ years of experience in building predictive models like classification, time series modelling etc.
1+ year of experience in areas such as recommendation systems, pattern recognition, NLP
Experience with production-grade Python (preferred), as well as Java or C/C++
Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Fulltime

Senior Machine Learning Engineer

Location

United States

Salary:

156190.05 - 211315.95 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree OR Master's degree and 2 years of relevant experience OR Bachelor's degree and 4 years of relevant experience OR Associate's degree and 8 years of relevant experience OR High school diploma / GED and 10 years of relevant experience

Job Responsibility

Build scalable AI proof-of-concepts that are designed to demonstrate a clear path from prototype to enterprise-scale solution
Partner with product managers, business stakeholders, platform teams, and AI & software engineers to translate ambiguous business needs into practical AI solutions with measurable value
Design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms
Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact
Create reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials that enable product, platform, or delivery teams to scale successful POCs
Raise the technical bar for the team by modeling strong engineering practices, mentoring others, improving delivery patterns, and bringing clear ownership and accountability to uncertain, fast-moving work

What we offer

health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program
stock-based long-term incentives

Fulltime

Senior Machine Learning Engineer

Location

United States , Raceland

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
Minimum of 6–10 years of experience ML or software engineering
Strong Python and ML deployment experience
Experience with cloud ML systems

Job Responsibility

Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems
Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure
Collaborate with Data Scientists to productionize models and improve deployment readiness
Monitor model performance, drift, availability, and reliability across production environments
Implement processes for model retraining, versioning, governance, and lifecycle management
Partner with Data Engineering teams to support feature engineering and data pipeline integration
Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards
Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases
Troubleshoot and resolve issues related to model deployment and operational performance
Contribute to ML engineering standards, best practices, and platform improvements

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

United States , Remote

Salary:

216700.00 - 303400.00 USD / Year

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Medical, dental, and vision insurance

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

Canada , Ontario

Salary:

Not provided

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle
Build scalable data and model pipelines
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

Fulltime

Senior Machine Learning Engineer

We are looking for a highly motivated Machine Learning Engineer to join the Cust...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
Minimum 6 years of experience in industry with a strong focus on machine learning and optimization
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
Solid understanding of statistical analysis and feature engineering techniques
Excellent communication and collaboration skills
Ability to work independently and take ownership of projects
Experience using SQL in a production environment
Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
Experience with dashboarding and using data visualization tools
Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar

Job Responsibility

Design, develop, and productionize machine learning (ML) solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
Productionize and deploy these models for real-world applications in customer support
Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
Review code and designs of teammates, providing constructive feedback
Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
Mentor junior engineers

Fulltime

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