Software Engineer (Distributed Systems & ML Infrastructure) Job at Hunter Bond (Singapore)

Staff Software Engineer (Distributed Systems & ML Infrastructure)

An Elite FinTech firm is expanding its world-class engineering team and looking ...

Location

France , Paris

Salary:

160000.00 EUR / Year

Hunter Bond

Expiration Date

Until further notice

Requirements

Open to all experience levels
Proven experience coding in Python
Strong understanding or interest in distributed systems and ML infrastructure
Enthusiasm to learn Rust (supported by internal mentorship and training)
Excellent academic background
Experience in high-stakes, low-latency, mission-critical environments where reliability and performance are non-negotiable

Job Responsibility

Design and build high-performance, distributed systems for large-scale ML infrastructure
Drive best practices in software architecture, testing, and scalability
Lead and collaborate on multiple greenfield initiatives focused on performance, reliability, and scale

What we offer

Up to €160,000 + Industry Leading Bonus
Work on next-gen distributed systems and ML infrastructure
Take ownership of multiple greenfield builds
Zero bureaucracy and a genuinely collaborative culture
Stunning offices
Dedicated time for personal projects every Friday

Fulltime

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 - ML Infrastructure

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

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 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

What we offer

medical, dental, vision, and 401(k)

Fulltime

Software Engineer: ML Robotics Systems

You will tackle end to end problems that make our AI models work better on robot...

Location

United States , San Mateo; Somerville

Salary:

200000.00 - 350000.00 USD / Year

Generalist AI

Expiration Date

Until further notice

Requirements

Extensive experience building complex distributed applications or data pipelines at scale
Experience processing petabytes of data (bonus if it’s video data)
Expertise in python, basic distributed infrastructure skills, and solid modern ML fundamentals
Solid foundation in modern ML techniques and experienced large scale ML training and production deployments
Experience with distributed cloud infrastructure and a solid understanding of cloud networking, permissions, and container orchestration (Kubernetes)

Job Responsibility

Designing and implementing any new idea that can help make our entire system more robust, scalable, or faster
Overhauling existing systems and services to handle the next 10x of scale
Writing the business logic that gets our robot the data it needs, or the business logic that gives our customers the right access to our robots

What we offer

Offers Equity

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 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

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Software Engineer (Distributed Systems & ML Infrastructure)

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