Senior Software Engineer - ML Infrastructure Job at SimpliSafe (Boston)

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

190800.00 - 286800.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

Fulltime

Senior Software Engineer, ML Infrastructure

LMArena is seeking a Senior Software Engineer (Infrastructure) to lead the desig...

Location

United States , Bay Area

Salary:

Not provided

Arena Intelligence, Inc.

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, with a focus on infrastructure or large-scale data and ML systems
Deep expertise in distributed systems, stream processing, and scalable backend architecture
Proven ability to design and operate low-latency, high-throughput, and fault-tolerant systems
Strong foundation in systems design, performance tuning, and building reliable, fault-tolerant services
Comfortable in a dynamic, high-ownership, fast-growth environment

Job Responsibility

Architect and scale high-performance, real-time API and data systems
Design and implement low-latency pipelines to process and analyze large-scale event streams
Ensure reliability through robust data integrity, availability, and consistency mechanisms
Mentor and guide engineers on infrastructure best practices, architecture, and performance tuning
Collaborate cross-functionally with AI researchers, product leaders, and engineers to anticipate evolving infrastructure needs and deliver resilient, extensible systems

What we offer

Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact

Fulltime

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, 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
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Senior ML Infrastructure Engineer, Inference Platform

About the Team: The ML Inference Platform is part of the AV ML Infrastructure or...

Location

United States , Austin, Texas; Mountain View, California; Sunnyvale, California

Salary:

155420.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of industry experience, with focus on machine learning systems or high performance backend services
Expertise in either Python, C++ or other relevant coding languages
Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc)
Strong communication skills and a proven ability to drive cross-functional initiatives
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities

Job Responsibility

Design and implement core platform backend software components
Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value
Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services
Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques
Lead technical initiatives across GM’s ML ecosystem
Raise the engineering bar through technical leadership, establishing best practices
Contribute to open source projects
represent GM in relevant communities

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Software Engineer- ML Network Stack

We are seeking an experienced engineer to join our team that owns the network st...

Location

Israel , Tel Aviv

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

5+ years of non-internship professional software development experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
3+ years as a mentor, tech lead or leading engineering teams
3+years experience in SW/HW Co-Design

Job Responsibility

Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale
Use internal Amazon CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time
Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads
Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders
Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach customers
Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve

Senior Software Engineer, ML Products

A Senior Software Engineer will work closely with Product Managers and Machine L...

Location

United States , Chicago

Salary:

171000.00 - 213000.00 USD / Year

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with a backend language, object oriented programming and building highly scalable backend services
3+ years of experience with relational and NoSql databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts
Strong analytical, problem-solving, decision-making, and interpersonal skills

Job Responsibility

Design, build, and maintain scalable ML products and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the 'gold standard' for engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other engineers, product managers, data scientists, data engineers, and product engineers to ensure the successful delivery of strategic and roadmap initiatives
Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing systems and processes while balancing maintainability, observability and readability
Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity

What we offer

Medical, dental, vision, life, and disability coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours
Casual dress code
Work in downtown Chicago, IL
Bike storage inside building
LifeStart gym with Peloton bikes and personal training
Free counseling sessions through Employee Assistance Program
Referral Program

Fulltime

Senior Software Engineer, ML Products

A Senior Software Engineer will work closely with Product Managers and Machine L...

Location

Mexico , Guadalajara

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with a backend language, object oriented programming and building highly scalable backend services
3+ years of experience with relational and NoSql databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts
Strong analytical, problem-solving, decision-making, and interpersonal skills

Job Responsibility

Design, build, and maintain scalable ML products and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the "gold standard" for engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other engineers, product managers, data scientists, data engineers, and product engineers to ensure the successful delivery of strategic and roadmap initiatives
Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing systems and processes while balancing maintainability, observability and readability
Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity

What we offer

Monthly grocery vouchers
Vacation days
Savings fund
Medical insurance (including dental and vision plans)
Casual dress code
Office wide engagement activities, team events, happy hours
Work in our new Guadalajara office located in Torre 1500 (Av. Americas 1254)
Free coffee
Free counseling sessions through our Employee Assistance Program
Referral 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

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Senior Software Engineer - ML Infrastructure

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