Senior Machine Learning Engineer

Devconnectplatform; United States; Remote; USD 145,000 - 209,000; Full time

Benefits offered by this job

Equity stake

Discretionary annual bonus

Flexible work environment (remote)

WFH stipend

Unlimited PTO

Up to 16 weeks family leave

401(k) matching

Student loan matching

Health, vision, dental, and life 보험

Job summary

SeatGeek is seeking a Senior Machine Learning Engineer to design, build, and deploy scalable ML systems that power pricing, recommendations, and fraud detection for a high-volume ticket marketplace. You will embed with a product engineering team to translate research into production-ready services.

You will develop ML pipelines, feature stores, and model serving platforms, collaborating with data scientists, PMs, and software engineers to deliver reliable, scalable solutions in a remote-first

Qualifications

• 4+ years of software engineering experience with at least 2+ years on ML systems/MLOps.
• Strong Python programming and exposure to ML frameworks.
• Experience deploying ML systems in production and scaling models.

Responsibilities

• Design, build, and deploy ML models and systems at scale.
• Develop ML infrastructure including feature stores and model serving.
• Collaborate with data scientists, PMs, and software engineers to productionize models.
• Address real-time pricing, demand forecasting, and fraud detection in production.
• Create automated ML pipelines for training, validation, deployment, and monitoring.

Skills

Python

ML frameworks

TensorFlow

PyTorch

Go

C# .NET Core

MLOps

Production ML systems

Real-time inference

Tools

Postgres

Memcached/Redis

Elasticsearch

AWS (SageMaker, Redshift, ECS)

Airflow

GitLab

Cursor

Github Copilot

Claude Code

Datadog

Job description

# Senior Machine Learning EngineerSeatGeek145k–209k USDFull-timeremote· seniorUSApythontensorflowpytorchfastapigopostgreselasticsearchawsListed via Jobicy · posted 20 Oct 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionSeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value.What you'll do- Design, build, and deploy machine learning models and systems that operate reliably at scale in production- Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines- Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems- Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection- Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices- Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offeringsWhat you have- Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven- 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps- Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar- Experience with cloud platforms and containerization technologies- Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring- Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard- A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick- Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from othersOur stackYou do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.- Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core- Datastores: Postgres, MemcachedRedis, Elasticsearch- Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration- Version control: Gitlab- AI Tooling: Cursor, Github Copliot, Claude Code- Observability: DatadogPerks- Equity stake- Discretionary annual bonus- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely- A WFH stipend to support your home office setup- Unlimited PTO- Up to 16 weeks of fully-paid family leave- 401(k) matching- Student loan matching program- Health, vision, dental, and life insurance- Up to $25k towards family building, reproductive health services and Gender-affirming care- $500 per year for wellness expenses- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical- $360 per quarter to spend on tickets to live events- Annual subscription to Spotify, Apple Music, or Amazon musicThe salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!To review our candidate privacy notice, click here.#LI-Remote