Senior Software Engineer, ML Products Job at Arrive Logistics (Guadalajara)

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

Arrive Logistics is a leading transportation and technology company in North Ame...

Location

United States , Austin

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. Deep python experience a plus
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. Experience with Statsig a plus
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. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your 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. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions

What we offer

Medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown
Free on-site parking
Specialty drink from our fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through our Employee Assistance Program

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 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

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 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 - 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 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

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Senior Software Engineer, ML Products

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