Senior Manager, Machine Learning Platform Job at EarnIn (Mountain View)

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

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 Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is a key feature, our operation...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skills in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is one of the key features, our...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skill in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
4+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes

What we offer

equity and benefits

Fulltime

Senior Machine Learning Engineer

Our Machine Learning Team is developing next-generation AI capabilities for High...

Location

Canada , Vancouver

Salary:

146000.00 - 220000.00 CAD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in developing and deploying machine learning models and systems
Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
Strong problem-solving skills and ability to analyze complex data sets
Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals
Comfortable with modern open source technologies and tools
Passion to learn new technologies and infrastructure

Job Responsibility

Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability
Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings
Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
Flexible PTO
Generous Holiday Schedule + 5 Days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
Flexible work schedules
Access to Coaches and Therapists through Modern Health
2 Volunteer days per year
Monthly transportation allowance for employees that work in our Vancouver Hub location
Employees are eligible to receive stock options

Fulltime

Senior Machine Learning Infrastructure Engineer

As a Senior ML Infrastructure Engineer at Plus, you will design scalable archite...

Location

United States , Santa Clara

Salary:

160000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Phd or MS in Computer Science, Electrical Engineering, or related field
Good oral and written communication skills
Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems
Proficiency in in Python, C++, SQL
Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow)
Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments)
Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)
Strong knowledge of distributed systems, databases, and storage solutions
Extensive software design and development skills
Ability to learn and adapt to new technologies and contribute in a productive environment

Job Responsibility

Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale
Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks
Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability
Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure
Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems
Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform
Mentor junior engineers and contribute to a culture of technical excellence
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime

Senior Manager, Machine Learning Platform

EarnIn

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

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EarnIn

Location:United States , Mountain View

Category:IT - Software Development

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 17, 2026

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Job Posted:
February 17, 2026