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Added 2 mins ago
Senior Lead Software Engineer Cloud Platforms
JPMC page
Jersey City, NJ · Palo Alto, CA
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase within the Corporate Sector AI and Machine Learning Data Platforms team, you will play a key role in designing and…
Added 11 mins ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 18 mins ago
Solutions Architect - Telco
Databricks
Remote, United States
As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer…
Added 30 mins ago
Senior Staff/Principal Engineer, Foundation Model Compute Infra
Apple
Cupertino, CA · Santa Clara, CA · Seattle, WA
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver…
Added 32 mins ago
Vice President ( Lead Securities Python Quantitative Developer )
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC
Wells Fargo is seeking a Quantitative Software Engineer, Vice President (Lead Securities Quantitative Analytics Specialist). A successful applicant will be a Python quantitative developer…
Added 34 mins ago
Senior AI/ML Engineer
International Motors, LLC
Lisle, IL
The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This…
Added 55 mins ago
S
Staff Machine Learning Engineer - Team Lead (Active Secret Clearance)
Striveworks
Remote, United States
- $210,000 to $260,000 USD / year
As a Staff Machine Learning Engineer, you will be both a core contributor and a customer-facing technical leader. You’ll initiate the design, build, and delivery of systems - from data…
Added 1 hour ago
Senior Data Engineer (US)
Code and Theory
NY
As a Senior Data Engineer on our team, you’ll bring deep expertise and strong opinions to complex problems. You’ll lead technical workstreams, mentor others, and help define what great…
Added 1 hour ago
Software Engineer III - UI / Experience Services Developer
JPMC page
Plano, TX
As a Software Engineer III at JPMorganChase within Consumer & Community Banking (CCB), J.P. Morgan Wealth Management (JPMWM), you serve as a seasoned member of an agile team to design and…
Added 1 hour ago
AB
Senior Network Engineer
Absolute Business Solutions Corp
Washington, DC
- $90,000 to $158,000 USD / year
ABSC has an exciting opening for a Senior Network Engineer supporting the Air Force National Capital Region Information Technology Services-2 (AFNCR ITS-2) program at Joint Base…
Added 1 hour ago
Principal Engineer - Data Engineering
Wells Fargo
IRVING, TX
Wells Fargo's Shared Service Operations Technology (SSOT) organization is seeking a Principal Engineer - Data Engineering to drive the architecture, engineering strategy, and modernization…
Added 1 hour ago
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One
NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
…mentoring and coaching. You are hands-on when necessary and lead by…
Added 1 hour ago
Databricks Solution Architect
CGI Technologies and Solutions, Inc.
Dallas, TX
…We are seeking a strategic Databricks Solutions Architect to lead the design and implementation of modern data and AI solutions for our enterprise…
Added 1 hour ago
Lead Databricks Application Architect/Full Stack Developer
CGI Technologies and Solutions, Inc.
Dallas, TX
We are seeking a highly experienced Lead Databricks Application Architect / Full Stack Developer to lead the design, development, and implementation of a new enterprise application built on…
Added 1 hour ago
Blackstone Data Science Product Engineering, Vice President
Blackstone Administrative Services Partnership
NY
6+ years of relevant experience in a data driven setting as a machine learning engineer, data scientist, software engineer, or data engineer
Added 1 hour ago
UG
Senior Software Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Sr Software Engineer is a senior technical contributor responsible for designing, developing, deploying, and supporting scalable, secure, and high-performing software solutions. This…
Added 1 hour ago
Entry Level Planning Engineer
Carollo Engineers Inc.
Walnut Creek, CA
…planning/hydraulic modeling and related software is desired. An Engineer-in-Training Certification (EIT) is required with a minimum of two years of related experience. Candidates driven to…
Added 1 hour ago
Principal Engineer
Thomson Reuters Holdings Inc.
Frisco, TX · NY · Ann Arbor, MI · Eagan, MN
As Principal Engineer for Corporate Tax and Trade, you'll define and execute the technical vision for our generative AI products, ensuring we deliver powerful, user-friendly, and innovative…
Added 1 hour ago
Principal Engineer
Thomson Reuters Holdings Inc.
Frisco, TX · NY · Ann Arbor, MI · Eagan, MN
As Principal Engineer for Corporate Tax and Trade, you'll define and execute the technical vision for our generative AI products, ensuring we deliver powerful, user-friendly, and innovative…
Added 1 hour ago
Digital/Technical Product Manager Lead- AI Ops
United Services Automobile Asn
United States
We are seeking a dedicated Digital/Technical Product Manager Lead- AI Ops. The AIOps Product Manager defines and drives the product strategy, roadmap, and prioritized use-case backlog for…
Added 2 hours ago
IG
Cloud Platform Engineer (100% Remote)
Insight Global
Remote, United States
- From $61 USD / hour
Insight Global is looking for a Cloud Platform Engineer to support a growing Data Analytics, Business Intelligence, and AI/ML team within a large government multi-cloud environment…
Added 2 hours ago
Forward Deployed Engineer
Clarasight
Remote, United States
- We are seeking a Forward Deployed Engineer to sit within Engineering but spend most of their time in pre-sales and strategic customer engagements, working closely with Sales and Customer…
Added 2 hours ago
Information Security Architect
HEXAWARE
United States
…Security Engineering & Operations (CSEO) team. This role will lead the design and implementation of secure architecture solutions across cloud, infrastructure, applications, and AI-enabled…
Added 2 hours ago
Data Annotation Specialist – Healthcare EOB (AI/ML)
Cognizant
Tampa, FL
…admired companies in the world. Learn how Cognizant helps clients lead with digital at…
Added 2 hours ago
Forward Deployed Engineer
Trase Systems
Remote, United States
Senior Engineer (L5): Independently lead a customer workstream from discovery to production, make design decisions, and mentor engineers.

Lyft

Senior Software Engineer, Forecasting & Real-Time Optimization

San Francisco, CA, United States
Seattle, WA, United States

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Job details

Experience: 5+ years of software engineering industry experience, including building and operating backend or data systems in production
Posting language: English
Posted: Nov 3, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Marketplace teams are at the heart of Lyft’s products and decision-making. We’re looking for passionate, driven engineers to build systems that empower our users (both drivers and riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. The ideal candidate enjoys solving problems with distributed computing for ML and forecasting models, and finding patterns and insights in real-world data while building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

The Forecasting and Real-Time Optimization Platform (FORTOP) team in Lyft’s Rideshare Experience & Marketplace (REM) org provides reliable, real-time market supply and demand signals and forecasts that power the systems making critical automated decisions for Lyft’s business. These signals feed many of Lyft’s most important marketplace products, including Dynamic Pricing, Real-Time Supply Management, Fulfillment, and more.

As a Senior Software Engineer on FORTOP’s forecasting team, you’ll lead the design and operation of the production systems that turn streaming marketplace data into accurate, reliable forecasts: real-time feature pipelines, model training and inference infrastructure, backtesting and evaluation tooling, and the serving layer that downstream products query continuously. You’ll work closely with our scientists to take models from prototype to production, and with downstream teams to define the contracts and reliability guarantees they build on. The work involves forecasting both rider demand and driver supply as they shift with traffic, holidays, and major events, and keeping systems correct and fast during the peaks when they matter most.

Responsibilities:

Lead projects end to end: Drive multi-engineer projects from proposal and technical design through launch. Break work into milestones, align dependencies with partner teams, and own estimates.
Architect ML systems: Design and evolve streaming feature pipelines, training and inference workflows, and signal serving, and lead design reviews with attention to latency, correctness, scalability, and cost. Reduce complexity by consolidating or sunsetting components.
Partner with science to ship: Partner with scientists to design/productionize ML models. Build the rollout tooling (shadow, canary, rollback) and the backtesting and experimentation infrastructure that make launches safe and fast.
Own signal contracts: Define and maintain the interfaces, data contracts, and SLAs between forecasting signals and downstream consumers such as Dynamic Pricing and Driver Incentives.
Operate what you build: Monitor system health (latency, freshness, error rates) and signal quality (accuracy, bias, drift), and prepare systems for peak events. Take part in on-call, lead post-incident investigations, and drive action items to completion.
Code quality: Write well-tested, maintainable code and give code reviews that improve the work of others. Coach teammates on testing and engineering practices.
Collaborate across functions: Work with Product, Science, and partner engineering teams to frame problems, shape the roadmap, and make clear tradeoffs between accuracy, latency, and complexity.
Grow the team: Mentor engineers, take part in hiring and onboarding, and share knowledge through design docs, runbooks, and tech talks.

Experience:

5+ years of software engineering industry experience, including building and operating backend or data systems in production
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Experience designing and leading delivery of large-scale distributed systems, and owning their reliability through monitoring, on-call, and incident response
Solid distributed systems fundamentals: fault tolerance, delivery semantics, and consistency tradeoffs
Track record of leading ambiguous, multi-engineer projects and mentoring other engineers
Clear written communication, including design docs that align stakeholders
Preferred: Experience building production ML models and infrastructure, such as model choice, feature engineering and pipelines, training and inference pipelines, model serving, or ML platforms
Preferred: Hands-on experience with stream or large-scale batch processing (Flink, Beam, Spark, or similar) and distributed messaging (Kafka, Kinesis, or similar)
Preferred: Experience with time series forecasting systems, or familiarity with backtesting and forecast evaluation (error metrics, bias, calibration)
Preferred: Experience with online experimentation or real-time decision systems such as pricing, dispatch, or marketplace balancing
Preferred: Comfort using AI-assisted development tools to move faster without compromising quality

Benefits:

Great medical, dental, and vision insurance options with additional programs available when enrolled
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan with company match to help save for your future
In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Subsidized commuter benefits
Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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More about this job

Skills

Forecasting
Decision making
Distributed computing
ML
Onboarding
Computer engineering
Computer science
Incident response
Coaching
Communication skills
Apache Spark
Apache Kafka

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