Senior Platform Machine Learning Engineer Job at EarnIn (Mountain View)

Senior Machine Learning Engineer

We are looking for a Senior ML engineer to join the Teamwork Graph team and a gr...

Location

United States , Mountain View; Seattle; San Francisco

Salary:

165500.00 - 265800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling business applications and systems using large amounts of data
Built generalizable platforms with a keen eye on empowering applications in product
Experience building and scaling business applications and systems using large amounts of data
Agile development mindset, appreciating the benefit of iteration and improvement
Experience working with LLMs and RAG a bonus

Job Responsibility

Process and structure large amounts of graph data to power applications across Atlassian
Build great APIs
Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Communicate and explain data science concepts to diverse audiences, craft a compelling story
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Machine Learning Engineer

We are looking for a Senior ML engineer to join the Teamwork Graph team and a gr...

Location

United States , Mountain View; Seattle; San Francisco

Salary:

165500.00 - 265800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling business applications and systems using large amounts of data
Built generalizable platforms with a keen eye on empowering applications in product
Experience building and scaling business applications and systems using large amounts of data
Agile development mindset, appreciating the benefit of iteration and improvement
Experience working with LLMs and RAG a bonus

Job Responsibility

Process and structure large amounts of graph data to power applications across Atlassian
Build great APIs
Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
Communicate and explain data science concepts to diverse audiences, craft a compelling story
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Machine Learning System Engineer

As a Senior ML System Engineer on the AI & ML Platform team, you will play a piv...

Location

United States , Seattle; San Francisco; New York; Austin

Salary:

165500.00 - 265800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Experience in building machine learning systems or ML infra / MLOps platform
Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python)
Experience with RESTful microservices
Experience using cloud tools such as Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Collaborate with your teammates to solve complex problems, from technical design to launch
Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers
Deliver code reviews, documentation & bug fixes within a strong engineering culture
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Mentor junior members of the team

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Machine Learning Engineering Manager

We are looking for a senior ML engineering manager to join the Teamwork Graph te...

Location

United States , Mountain View; San Francisco; Seattle

Salary:

190300.00 - 305700.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing engineering teams running core AI/ML services at scale
Experience building and scaling business applications and systems using large amounts of data
Ability to communicate and explain complex technical concepts to diverse audiences, craft a compelling story
Build generalizable platforms with a keen eye on empowering applications in product
Solid understanding of foundational ML concepts and Graphs
Experience working with LLM based applications or other ML powered products

Job Responsibility

Process and structure large amounts of graph data to power applications across Atlassian
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing machine learning engineering teams
Proven track record of building and scaling machine learning models in business applications using large datasets
Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
Strong technical expertise in machine learning, data science, and system design
Excellent communication skills to explain complex concepts to diverse audiences
Agile mindset with a focus on iterative development and continuous improvement
A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

Job Responsibility

Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
Mentor and coach team members on best practices, technical skills, and career development
Hire, onboard, and retain top talent to build a high-performing team
Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
Define and execute the vision and strategy for the Knowledge Graph Team
Influence the strategic direction of machine learning initiatives across Atlassian's products
Ensure timely delivery of high-quality solutions that meet customer needs
Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly

What we offer

Health coverage
Paid volunteer days
Wellness resources.

Fulltime

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...

Location

United States; Canada

Salary:

189900.00 - 237400.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

6+ years of experience delivering end to end solutions that drive business growth
Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
Strong expertise creating custom embeddings from raw data sources
Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
Strong communication skills with technical and non-technical stakeholders
Background in consumer-facing products preferred
Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Job Responsibility

Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
4+ years of machine learning experience with strong software engineering skills
Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
Advanced Python programming, SQL, and data manipulation skills
Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
Excellent communication and collaboration abilities
A passion for continuous learning and personal growth in a dynamic work environment

Job Responsibility

Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
Monitor feature and model health, and communicate changes in model decisions
Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
Lead by example to foster operational excellence and transformative change
Expand responsibilities as new products emerge

What we offer

equity and benefits

Fulltime

Senior Platform Machine Learning Engineer

EarnIn

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 08, 2025

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EarnIn

Location:United States , Mountain View

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 08, 2025

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Location:
United States , Mountain View

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Contract Type:
Not provided

Job Posted:
December 08, 2025