CrawlJobs Logo

Senior Machine Learning Engineer

Argentina, Buenos Aires · Job Posted February 17, 2026
Apply Position
Job Link Share

Job Description

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter.

Job Responsibility

  • Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
  • Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers
  • Be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
  • Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
  • Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
  • Monitor machine learning models and AI performance and troubleshoot issues as they arise
  • Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Requirements

  • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
  • Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
  • A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
  • An engineer with a self-driven attitude who can own problems and deliver solutions
  • Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
  • A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
  • Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
  • Experience building and consuming CI/CD pipelines
  • Someone who knows their way around the command line and has experience working with *nix systems
  • 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
  • 3+ years experience leading cross-team engineering efforts
  • Strong execution skills in project management

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Machine Learning Engineer

8 matching positions

New

Senior Machine Learning Engineer

Location
Location
Greece , Athens
Salary
Salary:
60000.00 - 65000.00 EUR / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience designing, building, and deploying production-grade machine learning solutions
  • Strong Python development skills
  • Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers
  • Experience with deep learning frameworks such as PyTorch
  • Strong knowledge of machine learning libraries including Scikit-learn and XGBoost
  • Experience working with NLP frameworks such as spaCy and NLTK
  • Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring
  • Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions
  • Passion for staying current with emerging AI technologies and applying them to real-world business challenges
  • Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders
Job Responsibility
Job Responsibility
  • Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives
  • Lead the research, development, and optimisation of machine learning models for production environments
  • Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face
  • Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks
  • Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation
  • Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments
  • Monitor, maintain, and optimise model performance to ensure reliability and scalability in production
  • Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence
  • Mentor junior engineers and provide technical leadership across AI and machine learning initiatives
  • Champion best practices for model development, experimentation, deployment, and ongoing optimisation
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've ...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
Not provided
roku.com Logo
Roku
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
  • Demonstrated production experience in applied machine learning, with PhD-level research and implementation experience considered a strong accelerator
  • Great coding skills and strong software development experience (we use Spark, Python, Java)
  • Familiarity with real-time evaluation of models with low latency constraints
  • Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc
  • Ability to work with large scale computing frameworks, data analysis systems, and modeling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB
Job Responsibility
Job Responsibility
  • ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
  • Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
  • Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
  • Production operations: Low-level systems debugging, performance measurement, and optimization on large production clusters
  • Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions
  • Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends
What we offer
What we offer
  • Global access to mental health and financial wellness support and resources
  • Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
  • Employees are supported in taking time off, in accordance with local leave policies and other personal needs
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Senior Machine Learning Engineer at Amgen. Join Amgen’s Mission of Serving Patie...
Location
Location
United States , Thousand Oaks; Jacksonville
Salary
Salary:
156190.05 - 211315.95 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid foundation in machine learning algorithms and techniques
  • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
  • Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Outstanding analytical and problem-solving skills
  • Ability to learn quickly
  • Good communication and interpersonal skills
  • Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
Job Responsibility
Job Responsibility
  • Collaborate with data scientists to develop, train, and evaluate machine learning models
  • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
  • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
  • Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency
  • Develop and implement monitoring systems to track model performance and identify issues
  • Conduct A/B testing and experimentation to optimize model performance
  • Work closely with data scientists, engineers, and product teams to deliver ML solutions
  • Stay updated with the latest trends and advancements
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

We're looking for a Senior Machine Learning Engineer who can build large-scale s...
Location
Location
Finland , Helsinki
Salary
Salary:
Not provided
supercell.com Logo
Supercell
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in Machine Learning with a strong track record of taking ML systems into production
  • Hands-on experience deploying ML models at large scale, operating in high-traffic, low-latency production environments
  • Strong software, data, and ML engineering skills, with the ability to design, build, and maintain robust end-to-end ML pipelines
  • Experience leveraging modern AI-assisted development tools to improve productivity and accelerate iteration speed
  • Proven ability to collaborate with other developers and AI agents, as well as independently drive ML projects from idea to production
  • Excellent problem-solving ability, with strong analytical thinking and attention to detail
  • Clear and effective communication skills, able to translate complex technical concepts for both technical and non-technical audiences
  • Positive, proactive, and 'can-do' mindset, with a willingness to dive deep and take ownership
  • Passion for games. Previous industry experience is a strong plus
Job Responsibility
Job Responsibility
  • Understand our games, players, and business goals to identify where ML can deliver meaningful impact, and build strong relationships across teams
  • Design and build end-to-end, real-time and event-driven ML systems from data to low-latency serving, enabling context-aware player experiences
  • Develop and deploy ML models and decision systems that shape personalized player experiences across the full player journey
  • Build scalable ML systems and reusable platform capabilities, enabling game teams to adopt ML through tools, pipelines, and APIs
  • Balance speed, robustness, experimentation, and standardization while continuously reducing time from idea to experiment to production
  • Operate, monitor, and optimize production ML systems to ensure world-class performance, reliability, and scalability
  • Champion modern MLOps practices through mentorship, code and design reviews, documentation, and by guiding game teams in adopting ML workflows
  • Shape ML strategy and ensure it drives real player and business impact
  • Continue to level up Supercell AI maturity through knowledge sharing and adoption of new tools
What we offer
What we offer
  • Relocation support for you and your family
  • Comprehensive compensation and benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Roku is changing how the world watches TV. The Recommendations team drives perso...
Location
Location
United States , San Jose
Salary
Salary:
229500.00 - 360000.00 USD / Year
roku.com Logo
Roku
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building software solutions to concrete problems
  • Strong CS fundamentals. Should be able to write an algorithm with ease
  • You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
  • We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
  • Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
  • AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it
  • MS in Computer Science or related field
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second
  • Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
  • Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
  • Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
  • Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
What we offer
What we offer
  • health insurance
  • equity awards
  • life insurance
  • disability benefits
  • parental leave
  • wellness benefits
  • paid time off
  • global access to mental health and financial wellness support and resources
  • healthcare (medical, dental, and vision)
  • life, accident, disability, commuter, and retirement options (401(k)/pension)
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

IT AND R&D REMOTE - Senior Machine Learning Engineer - RTB House is a global com...
Location
Location
Poland
Salary
Salary:
Not provided
rtbhouse.com Logo
RTB House
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...
Location
Location
United States , Thousand Oaks
Salary
Salary:
158606.00 - 200052.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Machine Learning Engineer

Job Requirement – Senior Machine Learning Engineer. Location – Delhi / Bangalore...
Location
Location
India , Delhi / Bangalore
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
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
Read More
Arrow Right