Principle Machine Learning Engineer Job at Atlassian (Mountain View)

AI and Machine Learning Engineer

We are seeking AI/ML & Innovation Engineer who will be leading initiatives acros...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master’s degree is desirable
Typically, 2-4 years’ experience
A solid understanding of mathematics, including linear algebra, calculus, and probability theory
Proficiency in programming languages such as Python, R, or Java
Knowledge of relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras
Experience with SQL for data manipulation and database querying
Understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc

Job Responsibility

Design, develop, and implement machine learning models and algorithms
Prepare and pre-process large datasets for machine learning tasks
Train machine learning models using appropriate algorithms and frameworks
Collaborate with cross-functional teams
Contribute to design review sessions
Deals with real-world datasets
Provides feedback to peers
Contribute to stand-up meetings
Prepare comprehensive presentations and reports
Interpret and report data findings

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Machine Learning Engineer - Computer Vision

We are seeking a highly skilled and motivated Machine Learning Engineer speciali...

Location

United States , Arlington

Salary:

Not provided

CaseGuard

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools
Experience with data manipulation tools such as Pandas, NumPy, and SQL
Strong programming skills in Python and C++
Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm
Proficiency in working with image and video data, including preprocessing and augmentation techniques
Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning
Strong communication skills and the ability to work collaboratively in a team environment

Job Responsibility

Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition
Optimize and fine-tune deep learning algorithms for real-time performance
Work closely with the software engineers and product teams to identify opportunities for leveraging data
Collect, clean, and preprocess large datasets to prepare for model training and evaluation
Evaluate and optimize machine learning models for accuracy, performance, and scalability
Deploy models into production environments and monitor their performance to ensure reliability
Stay up-to-date with the latest advancements in computer vision and artificial intelligence
Collaborate with cross-functional teams to integrate machine learning solutions into business processes
Document processes, models, and implementations to ensure reproducibility and scalability

What we offer

Competitive salary
Comprehensive health and wellness benefits
Professional development opportunities and continuous learning programs
Collaborative and inclusive work environment

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Software Development Engineer II – Machine Learning Operations

We are seeking a Full-Stack Engineer to be a key member of the Everseen ML Opera...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

2-3 years of work experience in a relevant role and global SaaS company
Experience in ML infrastructure, MLOps, or Platform Engineering
Strong programming skills, with experience in Front-End development, in React and Angular
Understanding ML lifecycle, model versioning, and monitoring
Experience with back-end frameworks on top of NodeJS ( NestJS )
Hands-on experience with Kubernetes, Docker, and cloud services
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Excellent communication and collaboration skills
Experience with Infrastructure as Code (e.g., Terraform)
Possesses a comprehensive understanding of technical concepts and terminology relevant to Everseen's products and services

Job Responsibility

Design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience
Design and implement reusable, testable, efficient, and elegant code based on requirements
Ensure adherence to coding standards and best practices
Create, maintain, and run unit tests for both new and existing applications and services
Aim to deliver defect-free and well-tested solutions
Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
Utilize data analysis to identify trends, patterns, and potential areas for improvement
Create and maintain CI/CD integration using various tools
Automate the build, test, and deployment processes to ensure efficiency and reliability

Fulltime

Data Scientist (Machine Learning Engineer- CGM Algorithm Dev.)

Looking to uncover insights that could revolutionize the future of medicine and ...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Proficiency in Python and its core data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, XGBoost/LightGBM)
Strong understanding of statistical principles, experimental design, and model validation techniques
Experience in processing, analyzing, and modeling time series data from physical sensors or monitoring devices
Background in Data Science, Machine Learning, Statistics, or a related quantitative field (Master's or PhD preferred)
Ability to work effectively in a collaborative, multidisciplinary environment
Must have the right to work in this location or hold an EU passport

Job Responsibility

Design, develop, and validate predictive and analytical algorithms for CGM data
Create robust code using advanced machine learning and statistical techniques to assess technical feasibility
Model potential algorithmic approaches based on patient needs and real-world sensor data
Process and manage heterogeneous time series data from medical devices, including data cleaning, imputation, transformation, and feature engineering
Build and optimize machine learning models (e.g., XGBoost, Neural Networks) and write efficient, reproducible Python code for analysis and experimentation
Provide technical guidance within an Agile team framework and collaborate with multidisciplinary teams to achieve project goals
Present complex technical results and feasibility findings clearly to diverse stakeholders

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Engineer

As an AI Engineer, you bring traditional and Generative AI into real world use c...

Location

Belgium , Brussels/Flanders

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
Experience with traditional NLP, LLMs, and conversational AI, both in experimentation phase and in production
Experience with vector databases for semantic search and RAG solutions in a production environment
Strong software engineering background and ability to write production ready code in Python
Experience with experiment tracking, models monitoring, LLM and NLP evaluation techniques, and deployment strategies
Comfortable with the machine learning lifecycle and MLOps and DevOps principles
Experience with at least one cloud provider and good knowledge of the data ecosystem
Able to coach others, give technical advice and direction, and work independently
Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
Proficient in English, knowledge of Dutch and/or French is a plus.

Job Responsibility

Design and implement solutions that require from traditional AI to LLMs, from semantic search to conversational AI
Train, fine-tune, improve, and deploy ML models
Write production ready code to serve online, batch, and real time models
Build applications and software to serve AI driven use cases
Work in close collaboration with Data Scientists, MLOps Engineers and Data Engineers to integrate all parts of the solution
Help build solutions and/or operate with clients on a medium to long-term basis.

What we offer

Mobility options (including a company car)
insurance coverage
meal vouchers
eco-cheques
continuous learning opportunities through the Sopra Steria Academy
opportunity to connect with fellow Sopra Steria colleagues at various team events.

Principle Machine Learning Engineer

Atlassian

Location:
United States , Mountain View ▼
Seattle
San Francisco

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2025

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