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Senior Data Engineer
CMG Financial
United States
- $130,000 to $165,000 USD / year
As a Senior Data Engineer you will be a hands-on builder on that platform. You will own pipelines and platform components end to end, from source to consumer, and treat access control, data…
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Computer Systems Engineer Architect
Chimes
BALTIMORE, MD
- $46.01 to $82.84 USD / hour
Chimes | Computer Systems Engineer Architect | Remote Position
Added 1 min ago
Lead Software Engineer - Java
New Relic
Portland, OR · OR
We're hiring a Lead Software Engineer for our team within New Relic's Data Platform, responsible for managing ingest into NRDB - New Relic's purpose-built telemetry datastore that ingests,…
Added 1 min ago
Principal Software Engineer 4 with TS/SCI + Poly
Aperio Global
Fort Meade, MD
At Aperio Global, we bring together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise…
Added 1 min ago
Geospatial Data Systems Engineer (TS/SCI + Poly)
Aperio Global
McLean, VA
At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable…
Added 3 mins ago
Software Engineer
ITS Inc
Johnston, IA
SHAZAM is looking for a Software Engineer to help build and enhance DigiHive™, our modern digital banking platform that unifies online and mobile banking into a single, intuitive…
Added 4 mins ago
Senior AWS Python Developer / Pyspark Data Engineer
System One
Knoxville, TN
Job Title: Senior AWS Python Developer / PySpark Data Engineer
Added 4 mins ago
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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 5 mins ago
Client Success Manager
Flip
NY · Playa Vista, CA
Technically curious - you don’t need to be an engineer, but you should want to understand how software, integrations, APIs, and data work
Added 5 mins ago
Client Success Manager
Flip
Playa Vista, CA · NY
Technically curious - you don’t need to be an engineer, but you should want to understand how software, integrations, APIs, and data work
Added 5 mins ago
Director, US Growth
Weight Watchers
NY
…AI-driven tooling we built in-house. You do not need to be an engineer, but you need to run a team this way and want to push it further. This is not a role for someone who manages from a…
Added 6 mins ago
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Senior Technical Success Manager, Emerging Enterprise - East
Amplitude
Remote, United States
- $168,000 to $252,000 USD / year
…product knowledge and fluency in customer technical ecosystems: data foundations, taxonomy, instrumentation patterns, and AI agent configuration. They are execution-first and outcome-driven…
Added 8 mins ago
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Software Engineer I
Kforce
San Diego, CA
- $48 to $58 USD / hour
A client with Kforce is seeking a Software Engineer I to join their Tax Engineering team in San Diego, CA.
Added 8 mins ago
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Project Engineer
Kforce
Irving, TX
- $80,000 to $90,000 USD / year
Kforce has a client that is seeking a Project Engineer in Irving, TX.
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Software Engineer Senior Lead Remote
Kforce
Remote, United States
- $60 to $73 USD / hour
A client with Kforce is seeking a Software Engineer Senior Lead to join their team. This is a remote opportunity.
Added 8 mins ago
US
Junior Full Stack Software Engineer, IT
Urban Sky
Denver, CO
- $85,000 to $105,000 USD / year
…build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is…
Added 9 mins ago
Mid-level Full Stack Software Engineer (TS/SCI)
Vantor Services Inc.
Herndon, VA · Westminster, CO
We are seeking an experienced Full Stack Software Engineer to support the development, integration, and sustainment of data analytics applications and capabilities for a large-scale U.S.…
Added 9 mins ago
AI Software Engineer (TS/SCI)
Vantor Services Inc.
Herndon, VA · Westminster, CO
We are seeking a Senior AI/ML Software Engineer to integrate secure chatbot and AI assistant capabilities into existing geospatial intelligence, analytics, visualization, and…
Added 9 mins ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
The Applications Development Engineer will be responsible for developing and implementing product applications for existing and pre-release products to provide maximum value to the…
Added 9 mins ago
IT Systems Engineer
Humble Robotics
United States
Support the robotics lab and shop floor: engineering workstations, lab servers and NAS, data-offload pipelines from vehicles, and the hardware engineers need to run tests.
Added 10 mins ago
Propulsion Software Engineer (Falcon Engineering)
SpaceX
Hawthorne, CA
As a Propulsion Software Engineer, you enable the long-term success of Falcon and its Merlin engines, improve hardware reliability, and remove recurring, time-consuming work from engineers’…
Added 10 mins ago
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Senior Process Engineer
Ohr
Lafayette, CO
- $140,000 to $180,000 USD / year
As a Senior Process Engineer at Ohr you take our technology from scale-up through delivered engineering packages - balances, equipment, drawings, and the project plans that put them on the…
Added 10 mins ago
Summer 2027 AI Services and Platforms Software Engineer Graduate Intern
Highmark Health
Remote, United States
The Summer 2027 AI Services and Platforms Software Engineer Graduate Internship provides graduate students with an opportunity to gain hands-on experience building scalable, cloud-native…
Added 11 mins ago
Software Engineer (L3) Email
Twilio
Remote, United States
Join the team as Twilio’s next Software Engineer, (L3) Email
Added 12 mins ago
Director, Pricing & Packaging Strategy
ServiceNow
Mountain View, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…

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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