Senior Machine Learning Engineer, ML Training Platform Job at Reddit

Senior AI ML Engineer

We are seeking a highly skilled and experienced Assistant Vice President (AVP), ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field
Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production
Proven experience in a lead or senior technical role
Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
Experience with MLOps platforms, model monitoring, and model versioning
Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
Proficiency in SQL and experience working with relational and/or NoSQL databases
Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques

Job Responsibility

Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation
Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders.

What we offer

Not explicitly stated.

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, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Senior ML Engineer

We take pride in our commitment to excellence and our dedication to providing ta...

Location

Salary:

Not provided

Ennova Research

Expiration Date

Until further notice

Requirements

At least 5 years of production experience working in Data Science and Software Engineering
Understanding of data structures, data modeling and software architecture
Fluent in a at least two mainstream programming language (Python, Scala, Java, C++)
Experience developing/deploying ML solutions in one of the public cloud platforms (Google preferred)
Willingness to develop software applications exploiting the latest Generative AI technologies
Experience with deployment including knowledge of CI/CD, containerization, and related concepts
Ability to train junior team members in multiple Machine Learning and Deep Learning concepts

What we offer

Competitive salary package
Professional growth opportunities
Training program
Teamwork and participation in team building activities
A dynamic, young, creative and stimulating environment
Open-minded and multicultural work environment

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

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Senior Machine Learning Engineer, ML Training Platform

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