Software Engineer (Machine Learning) Job at Meta (New York)

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Staff Software Engineer - Machine Learning

Role: The Smart Agents group is responsible for building the ML models and syste...

Location

United States

Salary:

134000.00 - 235900.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

4+ years of experience in the field of robotics or latency-sensitive backend services
Background working with machine learning teams, algorithms, and models
Strong programming skills in modern C++ or Python
Experience building highly performant ML and system pipelines
Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
Passionate about self-driving car technology and its impact on the world
Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible
Ability to design across multiple systems
Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain
Ability to wear several hats shifting between coding, design, technical strategy, and mentorship

Job Responsibility

Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization
Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation
Work as part of an ML team and contribute strong software engineering (SWE) expertise
Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies

What we offer

Health and wellbeing benefit programs
Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays

Fulltime

Software Engineer, Machine Learning - Credit & Refund Optimization

Join the team focused on building intelligent, personalized systems that drive f...

Location

United States , San Francisco

Salary:

137100.00 - 299300.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

3+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inference
Deep expertise in statistical modeling and causal inference (e.g., uplift modeling, treatment effect estimation, synthetic controls, instrumental variables)
Experience designing and deploying optimization algorithms (e.g., multi-objective optimization, bandits, constrained optimization)
Proficiency in Python and ML tooling such as PyTorch, Spark, and MLflow
A strong product sense and ability to translate business objectives into technical solutions
M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics)
Excellent communication skills and a track record of cross-functional leadership

Job Responsibility

Designing and deploying causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior
Developing optimization frameworks that balance customer experience with operational cost, under policy and budget constraints
Building personalized decision systems that adapt to customer preferences and platform dynamics in real time
Collaborating with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experience
Leading end-to-end model development, including experimentation, deployment, monitoring, and iteration

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off
paid sick leave
medical benefits
dental benefits
vision benefits
11 paid holidays

Fulltime

Senior Software Engineer, Machine Learning

Senior Machine Learning Engineer at Arrive, you will serve as a key technical le...

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 Python, object oriented programming and building highly scalable backend services
3+ years of experience with relational 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 like Statsig
Understanding of both traditional machine learning and deep neural networks
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts

Job Responsibility

Design, build, and maintain scalable ML systems 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 Machine Learning 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 data 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
CTA and L train stops walking distance from the office
Bike storage inside of the building
Access to LifeStart gym in office building
Free counseling sessions through Employee Assistance Program
Referral Program

Fulltime