Senior Software Engineer I - ML Platform Job at Dandy (New York NY)

Senior Software Engineer, ML Platform

We’re looking for a software engineer to join Parafin’s Infrastructure team and ...

Location

United States , San Francisco

Salary:

230000.00 - 265000.00 USD / Year

Parafin

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including experience on ML platform/MLOps systems (training, deployment, and/or feature pipelines)
Strong Python
solid software design and testing fundamentals
Proficiency with SQL
hands-on Spark/PySpark experience
Knowledge of ML fundamentals—probability & statistics, supervised vs. unsupervised learning, bias/variance & regularization, feature engineering, model evaluation metrics, validation strategies, and production concerns like drift, stability, and monitoring
Expertise with modern data/ML stacks—AWS, Databricks (workflows, lakehouse, MLflow/registry, Model Serving), and Airflow (or equivalent orchestration)
Experience building real-time systems (service design, caching, rate limiting, backpressure) and batch pipelines at scale
Practical knowledge of feature-store concepts (offline/online stores, backfills, point-in-time correctness), model registries, experiment tracking, and evaluation frameworks
Strong problem-solving skills and a proactive attitude toward ownership and platform health

Job Responsibility

Turn notebooks into software
Decompose data scientist training/inference notebooks into reusable, tested components (libraries, pipelines, templates) with clear interfaces and documentation
Create developer-friendly ML abstractions
Build SDKs, CLIs, and templates that make it simple to define features, train/evaluate models, and deploy to batch or real-time targets with minimal boilerplate
Build our real-time ML inference platform
Stand up and scale low-latency model serving
Expand batch ML inference
Improve scheduling, parallelism, cost controls, observability, and failure/rollback for large-scale batch scoring and post-processing
Own and expand the feature store
Design offline/online feature definitions, high read/write throughput, and consistent offline/online semantics

What we offer

Equity grant
Medical, dental & vision insurance
Work from home flexibility
Unlimited PTO
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program

Fulltime

Senior Software Engineer, ML Data Platform

DUTIES: Develop fast, robust, and spike-resistant data consumption, data mining...

Location

United States , Detroit

Salary:

216418.50 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Electronic Engineering, Management Information Systems, or related field of study and Five (5) years of experience as a Software Engineer, Programmer Analyst, or related occupation
Five (5) years of experience with: Building Peta Byte (PB) scale data management systems
Optimizing those data processing clusters for cost efficiency and performance
Building serving systems capable of delivering data at high-throughput, low-latency and high QPS (Queries Per Second) in a cost-efficient and spike-resilient manner
Building scalable infrastructure on the cloud with Python, Java, or Scala
Writing SQL queries for analytic purposes.

Job Responsibility

Develop fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company
Develop orchestration for large-scale post-processing, and computational pipelines
Participate in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud
Build self-serve capabilities to help customers to adopt the next generation data processing platform
Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud
Champion engineering excellence by continuously improving systems and processes
Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs
Effectively participate in team’s planning, code reviews and design discussions
Consider the effects of projects across multiple teams and proactively manage conflicts
Work with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements

What we offer

An incentive pay program offers payouts based on company performance, job level, and individual performance

Fulltime

Senior Software Engineer - Matching ML Platform

Uber is looking for a Software Engineer to join our Matching ML Platform team. T...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor
Experience with ML in production systems
Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
Fast and passionate learner
Strong collaboration, documentation and communication skills

Job Responsibility

Build and scale a low-latency platform powering millions of real-time match decisions per second
Identify opportunities to improve various ML system's performance and health
Design modular systems that accelerate product innovation without rework
Optimize for fairness, efficiency, and marketplace health at global scale
Collaborate across product, infra, and ML teams to deliver business-critical impact

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Software Engineer II, ML Platform

Dandy is building the operating system for dental offices around the world. As a...

Location

Brazil

Salary:

Not provided

Dandy

Expiration Date

Until further notice

Requirements

5+ years of experience as a Machine Learning Engineer or Software Engineer, ideally within a high-growth startup environment
Deep proficiency in building and operating ML platform components, including feature stores, model registries, distributed training infrastructure, and experiment tracking
Experience designing and running ML systems on cloud infrastructure, including containerization and orchestration technologies such as Docker and Kubernetes, and public cloud platforms (AWS or GCP or Azure)
Expertise in large-scale data processing, with proven experience building reliable ML data pipelines to support complex model training and evaluation
Experience creating and maintaining automated build, test, and deployment workflows across multiple environments (e.g., Buildkite, CI/CD pipelines)
Strong background in observability, including implementing metrics, logging, and tracing for complex, distributed production systems
Ability to communicate clearly and concisely about complex architectural problems and propose iterative, pragmatic solutions

Job Responsibility

Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements
Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt
Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner
Write clean, maintainable code and tests that set the standard for our internal best practices
Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar

What we offer

Healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Senior ML Platform Engineer, AI Platform

We are seeking a skilled and passionate ML Platform Engineer to join our team an...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years in backend software development
at least 2+ years focus on AI/ML Platform or MLOps infrastructure
deep expertise in MLOps practices, including automated deployment pipelines, model optimization, and production lifecycle management
proven experience designing and implementing low-latency model serving solutions
proficiency in Python
skill in writing high-quality, maintainable code
experience in design and development of large-scale distributed, high concurrency, low-latency inference, high availability systems
excellent communication and mentoring abilities
a relevant degree in Computer Science, Mathematics or related fields

Job Responsibility

Platform Development: Design, build, and maintain the end-to-end MLOps platform using Kubernetes and Cloud Services
Infrastructure as Code (IaC): Use Terraform or similar tools to manage, provision, and scale all ML-related infrastructure securely and efficiently
Pipeline Automation: Implement and optimize CI/CD/CT (Continuous Integration, Delivery, Training) pipelines to automate model training, testing, packaging, and deployment using tools like Argo and Kubeflow Pipelines
Serving Infrastructure: Build highly available, low-latency, and high-throughput model serving infrastructure
Observability: Implement robust monitoring, alerting, and logging solutions to track infrastructure health, model performance, and data/model drift
Tooling & Support: Evaluate, integrate, and support ML tools such as Feature Stores and distributed model training pipelines
Security & Compliance: Ensure platform security, implement RBAC (Role-Based Access Control), and manage secrets for sensitive data and production environments
Collaboration: Work closely with Data Scientists and ML Engineers to understand their needs and provide technical guidance on best practices for scaling their models

Fulltime

Software Engineer II and Senior Software Engineer - AI Compilers

The AI Frameworks team at Microsoft develops the AI software used to train and d...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Invent and implement innovative compiler features and advanced optimization passes, leveraging tools such as LLVM, MLIR, Torch Dynamo, and Triton
Develop code generation techniques for new hardware platforms
Design and develop cutting edge AI software in C++ and Python
Optimize AI workloads
Design new programming abstractions for AI
Collaborate broadly across multiple disciplines from hardware architects to ML developers
Identify requirements, plan and design solutions, estimate effort, and schedule deliverables
Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture
Embody Microsoft's culture and values

Fulltime

Senior Software Platform Engineer

Solvd Inc. is a rapidly growing AI-native consulting and technology services fir...

Location

Brazil

Salary:

Not provided

Solvd Inc.

Expiration Date

Until further notice

Requirements

7+ years of professional experience in software engineering and infrastructure engineering
Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management
Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK
Expert-level coding skills in TypeScript and Python building robust APIs and backend services
Production-level experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows
Expert level understanding of containerization (Docker)
Proven ability to design reliable, secure, and scalable infrastructure for both real-time and batch ML workloads
Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members
Strong collaboration skills and the ability to partner effectively with cross-functional teams

Job Responsibility

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock
Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics
Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments
Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production
Drive best practices for observability, including monitoring, alerting, and logging for AI platforms
Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types
Stay current with new tools and technologies to recommend improvements to architecture and operations
Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG)

What we offer

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

Fulltime

Senior ML Software Engineer - Integration & Quality

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...

Location

United States; Canada , Sunnyvale; Toronto

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

5+ years of relevant industry experience in Software integration, development
Strong automation and programming skills using one or more programming languages like Python, C++ or go
Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment
Experience in debugging issues across distributed scale out
Experience in understanding complex systems and putting together thorough test-plans
Experience working effectively across teams, including product development, product management, customer operations, and field teams
Excellent verbal and written communication
Strong organizational skills, teamwork, and can-do attitude
Experience working with geographically dispersed teams across time

Job Responsibility

Develop and execute a comprehensive integration and QA strategy aligned with the roadmap of the Cerebras AI solution
Execute with good software integration methodology, collaborate with effective communication and ensure quality
Break down complex tasks into smaller tasks, be a problem solver and help debug
Automation of workflows, testbed setups and building tools to monitor/debug
Implement creative ways to break Cerebras software and identify potential
Contribute to developing SW specifications with a focus on ML
Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference
Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company
Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous
Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

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Senior Software Engineer I - ML Platform

Job Description

Job Responsibility

Requirements

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What we offer

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