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

Senior Machine Learning Engineer, Platform

We seek an outstanding, creative, and passionate Machine Learning Platform Engin...

Location

United States , San Jose

Salary:

229500.00 - 367100.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of experience building software solutions to concrete problems
Strong CS fundamentals. Should be able to write an algorithm with ease
Fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
Worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it
MS in Computer Science or related field

Job Responsibility

Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
commuter benefits
retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Platform Engineer

We are looking for a Senior Machine Learning Platform Engineer to join the growi...

Location

United States , San Francisco

Salary:

180000.00 - 200000.00 USD / Year

Strava

Expiration Date

Until further notice

Requirements

Have worked on complex, ambiguous platform challenges and broken them down into manageable tasks with both strategies and tactical execution
Demonstrated technical leadership in leading projects and the ability to mentor and grow early-career team members
Have demonstrated strong interpersonal and communication skills, and a collaborative approach to drive business impact across teams
Have worked with a variety of MLOps tools that fulfill different ML needs (like FastAPI, LitServe, Metaflow, MLflow, Kubeflow, Feast)
Are experienced in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing
Experience with generative AI technologies around LLM evaluation, vector stores, and agent frameworks
Have built backend production tools and services on cloud environments like (but not limited to) AWS, using languages Python, Terraform, and other similar technologies
Have built and worked on data pipelines using large scale data technologies (like Spark, SQL, Snowflake)
Have experience building, shipping, and supporting ML models in production at scale
Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker

Job Responsibility

Own End to End Systems: Drive key projects to power AI/ML at Strava end-to-end from gathering stakeholders requirements to ground up developer to driving adoption and optimizing the experience
Interact with a Rich and Large Dataset: Explore and help leverage Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
Contribute to a Well Loved Consumer Product: Work at the intersection of AI and fitness to help launch and maintain product experiences that will be used by tens of millions of active people worldwide

What we offer

Offers Equity

Fulltime

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer, ML Training Platform

Location

United States

Salary:

216700.00 - 303400.00 USD / Year

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, with a focus on Platform Engineering, ML Infrastructure, or Backend Systems
Deep Kubernetes Expertise: You know K8s beyond just 'deploying pods.' You understand CRDs, Controllers and the Operator pattern
Jupyter Ecosystem Knowledge: Experience customizing JupyterHub, JupyterLab extensions, or building similar interactive computing platforms
Strong Coding Skills: Proficiency in Python (for the ML ecosystem) and Go (for Kubernetes controllers/infrastructure tooling)
GPU Experience: Hands-on practice with CUDA environments, GPU virtualization/containerization, and doing it all within Kubernetes
Cloud Provider Experience: Familiarity with both managed ML offerings (Vertex AI, Sagemaker, etc) and building custom ML components in AWS and/or GCP
Experience working with distributed training frameworks, including Ray and Kubernetes
Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle
Strong organizational & communication skills

Job Responsibility

Lead the building, testing, and maintenance of ML training infrastructure at Reddit
Play a pivotal role in designing, building, and optimizing the infrastructure and tooling required to support large-scale machine learning workflows
Evolve the MLE experience, from provisioning interactive GPU environments through large-scale training, supporting on-demand and self-service workflows
Kubernetes Automation: Write custom Kubernetes Controllers and Operators to manage the lifecycle of interactive Jupyter workspaces and long-running ML training jobs, handle auto-idling, and ensure fault tolerance
GPU Orchestration: Work with the underlying compute team to ensure MLEs have efficient access to training hardware resources and handle resource contention gracefully
Developer Experience (DevX): Treat internal MLEs as your customers. Conduct user research, reduce friction in the 'Idea-to-Prototype' loop, and standardize software environments (Docker images, Python dependency management)

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
Paid Volunteer time off

Fulltime

Senior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI)

We are seeking a highly skilled Senior Machine Learning Engineer to design, deve...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in cloud platforms including AWS, Azure, GCP, or OCI
8+ years of experience with DevOps technologies including Docker, Kubernetes, Ansible, and CI/CD automation
Strong experience with SQL databases (PostgreSQL, MySQL) and NoSQL/vector databases
Proficiency in Bash and PowerShell scripting for automation and infrastructure management
Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms
3+ years of hands-on Python development experience in production environments
3+ years of experience with NLP, LLMs, transformers, prompt engineering, RAG, and AI application development
Experience building and deploying machine learning models serving real-world users
Experience with time-series forecasting, anomaly detection, and predictive analytics
Experience developing recommendation systems and personalization engines

Job Responsibility

Design, develop, deploy, and maintain production-grade machine learning and AI solutions
Build and optimize Large Language Model (LLM) applications using GPT, BERT, T5, Hugging Face, Ollama, and similar technologies
Develop Retrieval-Augmented Generation (RAG) systems, prompt engineering strategies, and fine-tuning workflows
Implement and maintain MLOps pipelines using MLflow, Kubeflow, Airflow, Weights & Biases, or similar tools
Deploy and manage AI workloads across AWS, Azure, GCP, and OCI cloud environments
Design and support scalable infrastructure using Docker, Kubernetes, Ansible, and CI/CD pipelines
Develop machine learning models for forecasting, anomaly detection, predictive analytics, and real-time monitoring
Build recommendation engines, personalization platforms, ranking systems, and collaborative filtering solutions
Develop and deploy computer vision solutions using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and image segmentation techniques
Implement feature engineering strategies and feature stores such as Feast or Tecton

Fulltime

Senior Machine Learning Engineer

Roku is changing how the world watches TV. The Recommendations team drives perso...

Location

United States , San Jose

Salary:

229500.00 - 360000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of experience building software solutions to concrete problems
Strong CS fundamentals. Should be able to write an algorithm with ease
You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it
MS in Computer Science or related field

Job Responsibility

Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second
Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Engineer

IT AND R&D REMOTE - Senior Machine Learning Engineer - RTB House is a global com...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Expertise in designing and implementing complex IT systems
Ability to develop user-friendly, versatile tools
Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux
Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting
Deep understanding of algorithms and data structures
Initiative and creativity to improve existing solutions
Ability to work effectively both within and across teams
C1 level in Polish

Job Responsibility

Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment
Identifying performance bottlenecks and optimizing critical, low-level parts of the system
Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components
Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment

What we offer

Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project
Opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems
Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model
The ability to see the immediate impact of your cooperate on the company's business outcomes
The possibility of publishing your results

Fulltime

Senior Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in the ML/Robotics industry
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Proficient in Python and Linux environments
Familiar with modern AI/ML frameworks (e.g., PyTorch).

Job Responsibility

Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies
Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability
Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling
Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

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Senior Platform Machine Learning Engineer

Job Description

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