Machine Learning Engineer II Job at Coursera

Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...

Location

United States , Boston

Salary:

125000.00 - 170000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of ML engineering, applied research, or a similar role
2+ years experience applying advanced mathematical and statistical techniques
Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
Proficiency in scientific Python and SQL
Excellent verbal and written communication skills

Job Responsibility

Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
Work closely with a team of data scientists in developing algorithms that power member-facing features
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

What we offer

equity
benefits

Fulltime

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

Engineering Analyst II

The position involves working within the Integrity Assessments & Risk - Faciliti...

Location

Canada , North York or Chatham, Ontario

Salary:

Not provided

Randstad

Expiration Date

Until further notice

Requirements

Engineering degree required, ideally Mechanical, Chemical or Civil
experience in data analytics including data quality assessments
experience in Python/Reliasoft/Matlab programming
helpful but not mandatory: experience in Machine Learning or AI
experience with reliability/statistical modeling
experience in working with Maximo/SAP

Job Responsibility

quantitative analysis related to the probability of failure of assets
working on the collection and review of relevant data
data quality assessments
data pattern and trend evaluation
model development and selection
results verification & validation
supporting decision-making by interpreting findings appropriately

Mechanical Engineer II

Mechanical Design Engineers at Axon have design ownership over next generation l...

Location

United States , San Francisco

Salary:

120000.00 - 138000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mechanical Engineering or equivalent experience
Minimum 2+ years of product design experience in high-end consumer electronic products
Proficiency with Creo or similar 3D CAD software
Knowledge and experience designing for typical production processes, including plastic injection molding, stamped sheetmetal, die-casting, and CNC machining
Familiarity with adhesives and bonded joint design
Experience designing for a high level of dust/water ingress protection
Experience with PCB/PCBA flex circuit and other electro-mechanical integration
Strong DFM/DFA skills, with emphasis on part/assembly tolerance management, to ensure robust designs for high volume manufacturing
Ability to interpret product requirements and translate into quantifiable engineering deliverables
Experience preserving Industrial Design intent

Job Responsibility

Drive innovative product development from conceptualization through manufacturing
Utilize creative problem solving skills to develop, prototype and prove concepts for subsystem and system level designs
Build and test high-fidelity subsystem and full system prototypes
Perform detailed mechanical analysis to ensure proper function through FEA, tolerance analysis, testing, and other exploratory means
Collaborate regularly with both domestic and international stakeholders
Work autonomously and collaboratively in an empowering and fast-paced environment
Hone your engineering expertise in a dynamic learning environment focused on personal and professional development

What we offer

Competitive salary, bonus, RSUs, and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Mechanical Engineer II

Mechanical Design Engineers at Axon have design ownership over next generation l...

Location

United States , San Francisco

Salary:

120000.00 - 138000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mechanical Engineering or equivalent experience
Minimum 2+ years of product design experience in high-end consumer electronic products
Proficiency with Creo or similar 3D CAD software
Knowledge and experience designing for typical production processes, including plastic injection molding, stamped sheetmetal, die-casting, and CNC machining
Familiarity with adhesives and bonded joint design
Experience designing for a high level of dust/water ingress protection
Experience with PCB/PCBA flex circuit and other electro-mechanical integration
Strong DFM/DFA skills, with emphasis on part/assembly tolerance management, to ensure robust designs for high volume manufacturing
Ability to interpret product requirements and translate into quantifiable engineering deliverables
Experience preserving Industrial Design intent

Job Responsibility

Drive innovative product development from conceptualization through manufacturing
Utilize creative problem solving skills to develop, prototype and prove concepts for subsystem and system level designs
Build and test high-fidelity subsystem and full system prototypes
Perform detailed mechanical analysis to ensure proper function through FEA, tolerance analysis, testing, and other exploratory means
Collaborate regularly with both domestic and international stakeholders
Work autonomously and collaboratively in an empowering and fast-paced environment
Hone your engineering expertise in a dynamic learning environment focused on personal and professional development

What we offer

Competitive salary, bonus, RSUs, and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Engineering Analyst II

Location

Canada , North York

Salary:

Not provided

Randstad

Expiration Date

January 22, 2026

Requirements

Engineering degree (Mechanical or Chemical Engineering) with 2 years of experience
Relevant industry experience in conducting quantitative risk assessments (QRAs), especially FTA, ETA and consequence analysis considered an asset
Relevant work experience including pipeline engineering, station engineering, integrity management, and risk assessment considered an asset
Experience building analytical models, statistical modelling, applied data science, machine learning, model evaluation considered an asset
Proficient in computer science concepts and experience in various coding languages (e.g. SQL, VB, Python, etc.)
Excellent communication and presentation skills

Job Responsibility

Perform quantitative risk analysis of Enbridge Gas transmission and distribution pipeline systems using a consistent framework consistent with the Enbridge risk governance requirements
Support Integrity software implementation, data collection, execution, and modelling development for risk & integrity
Perform root cause analysis, risk refinement and what-if assessments to quantify the impact of possible remedial actions
Use engineering statistics, simulations, and data analytics to support effective integrity & risk decisions

Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Software Development Engineer II

A leader in vision AI solutions for the world’s leading retailers. Transforming ...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

2-3 years of work experience in a relevant role
Bachelors degree or equivalent focusing on the computer science field is preferred
In-depth knowledge of Python
Comfortable working with UNIX like environments
In-depth knowledge of advanced concepts like microservices and distributed systems
Hands-on experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or other equivalent cloud environments
Understanding of basic monitoring services (e.g., CloudWatch, Azure Monitor, Prometheus, Grafana)
Proven ability to deploy, package, manage, and monitor applications in a cloud environment (e.g., Docker, CI/CD pipelines)
Strong interest in machine learning, data science, or related fields
Broad understanding of the software engineering and architecture space, including knowledge of various programming languages, frameworks, techniques, and industry trends in AI

Job Responsibility

Design and develop new features and functionalities
Design and implement reusable, testable, efficient, and elegant code based on requirements
Create, maintain, and run unit tests for both new and existing applications and services
Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
Create and maintain CI/CD integration using various tools
Evaluate and integrate third-party software solutions to optimize system performance
Update and track third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitor production logs to identify and troubleshoot issues promptly
Responsible for creating, maintaining, and updating technical documentation

Fulltime

Machine Learning Engineer II

Coursera

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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