Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added just now
Manufacturing Planner II
Blue Origin Personnel, LLC
Space Coast, FL
…to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the…
Added just now
Sr Software Engineer - Core Platform Infrastructure
Blue Origin Personnel, LLC
Denver, CO
…to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the…
Added just now
Senior Software Engineer, AI Compute Scheduling
NVIDIA USA
CA · MA · TX · NC
…technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team,…
Added 1 min ago
Senior Technical Principal- Energy Infrastructure Solutions
WSP
Rancho Cordova, CA · Sacramento, CA
WSP is initiating a search for a Senior Technical Principal- Energy Infrastructure Solutions to join our Power & Energy team in Sacramento, CA. We will also consider a remote opportunity.…
Added 1 min ago
Fire Control Test and Hardware Technician - $5,000 Sign On Bonus
General Dynamics Mission Systems, Inc
Manassas, VA
Must have prior Submarine Fire Control Technician (FT)
Added 3 mins ago
C
Field Services Engineer
CTS
Brooklyn, NY · NY
- $60,000 to $80,000 USD / year
As a Field Services Engineer at CTS, you will play a crucial role within our Service Delivery team, ensuring our clients receive exceptional day-to-day technical support. Reporting to the…
Added 4 mins ago
Senior Software Engineer / Tech Lead
NikSoft Systems Corp.
United States
We are looking for a Senior Software Engineer / Tech Lead to support enterprise and government security applications. The ideal candidate will provide technical leadership, define software…
Added 4 mins ago
Senior Software Engineer/Tech Lead
NikSoft Systems Corp.
United States
We are seeking an experienced Senior Software Engineer / Tech Lead to join our team supporting enterprise and government security applications, with a strong preference for candidates who…
Added 4 mins ago
Sr Network Test Engineer
Lumen Technologies
DENVER, CO
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
Added 4 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 4 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Strong architectural and systems-thinking capabilities across services, data, and infrastructure.
Added 4 mins ago
C+
Senior Test Engineer – HPC Automation & Validation
CTRL + LLC
Annapolis Junction, MD
- $103.14 to $113.88 USD / hour
Applicants must live within commuting distance of the listed work location to be considered
Added 4 mins ago
Data Center Engineer
Inabia Software & Consulting Inc.
Lansing, MI
The engineer will support planning, execution, validation, troubleshooting, and post-migration activities to ensure systems are transitioned safely, efficiently, and with minimal disruption.
Added 4 mins ago
Senior Controls/Electrical Engineer
Metso
York, PA · Pittsburgh, PA
Our solutions and services support everything from renewable energy and electrification to the infrastructure and digital economy shaping our future. Together, we help our customers meet…
Added 4 mins ago
MODEL BASED SYSTEM ENGINEER LEAD
Quantum Research International Inc
HUNTSVILLE, AL
Quantum Research International is seeking a Model Based Systems Engineer (MBSE) with modeling experience to provide subject matter expert (SME)-level systems engineering support to the…
Added 5 mins ago
System Administrator
Raphael and Associates
Rutherford, NJ
Raphael & Associates is seeking a hands-on Systems Administrator / Infrastructure Engineer to support and strengthen our IT infrastructure, including Microsoft 365, Azure, networking,…
Added 7 mins ago
R
Senior Engineer, Backend, Procurement
Ramp
New York City, NY
- $204,000 to $280,000 USD / year
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and…
Added 7 mins ago
Software Development Engineer - iOS for Keyboard
Apple
Cupertino, CA
Join the Keyboard Infrastructure team to build and maintain the foundational systems that power keyboard behavior across iOS & iPadOS. You'll own keyboard focus, lifecycle management, and…
Added 9 mins ago
LO
Technical Program Manager, Hardware
Loft Orbital Solutions
Golden, CO
- $130,000 to $180,000 USD / year
Loft Orbital’s mission is to simplify access to space by streamlining the development and deployment of mission capabilities across our space infrastructure.
Added 10 mins ago
K
Software Engineer - Database - Bitnomial
Kraken
Remote, United States
- $96,000 to $192,000 USD / year
…building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial…
Added 10 mins ago
K
Software Engineer - DevOps - Bitnomial
Kraken
Remote, United States
- $96,000 to $192,000 USD / year
…building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial…
Added 10 mins ago
Software Engineer, Golang
RVO Health
Remote, United States
…maintaining our internal content workflow and content distribution systems. This role provides the opportunity to work alongside Staff and Senior engineers, broaden your experience, and…
Added 10 mins ago
AU
Aviation Civil Engineer
AtkinsRealis USA Inc.
United States
- $90,400 to $150,000 USD / year
…connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants,…
Added 10 mins ago
Mechanical Engineer
AtkinsRealis USA Inc.
United States
…connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants,…
Added 10 mins ago
AU
Texas Water/Wastewater Market Director
AtkinsRealis USA Inc.
United States
- $150,000 to $235,000 USD / year
…connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants,…

Later

Senior MLOps Engineer

Boston, MA, United States

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 7+ years of DevOps, cloud, or software engineering experience in production environments, including technical leadership: leading projects, setting direction, and mentoring others.
Posting language: English
Posted: May 19, 2026

Original job description

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data - including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases - Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good - they deliver results. Learn more at later.com.

Senior MLOps Engineer

Later is the world’s most intelligent influencer marketing company. Built on a native, AI-powered platform and more than a decade of proprietary data, including billions of social interactions and $2.4B+ in verified influencer-driven purchases, Later helps brands choose the right creators, run fully managed campaigns, and know what will work before they launch.

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good, they deliver results. Learn more at later.com.

About this position

We’re looking for a Senior MLOps Engineer to build and scale the infrastructure that takes Later’s machine learning and AI systems from prototype to production. You’ll own the pipelines that train, retrain, deploy, and serve the models behind our products, including forecasting, recommendation, and LLM-based and agentic features, across AWS and GCP.

You’ll join the Infrastructure team alongside our DevOps engineers and work closely with Data Science, Data Engineering, Platform, and Product Engineering. Data Science builds and iterates on models; you make sure they ship reliably, scale with demand, and retrain on the right cadence.

At first, expect roughly half your time on ML platform work and half on shared infrastructure. The split will shift toward ML as the practice grows into its own team. The role is mainly infrastructure and automation, with hands-on coding where it counts.

This is a strong fit for a senior engineer with a solid DevOps and cloud foundation and real experience putting ML systems into production, who wants to set the standard for MLOps at Later.

What you’ll be doing

Strategy & Architecture

Own the MLOps roadmap with Infrastructure, Data Science, and Data Engineering leaders, aligned to product and AI growth plans.
Evaluate and select tooling for orchestration, model registry, experiment tracking, LLM serving, and observability, and make clear build-or-buy recommendations.
Shape the long-term architecture of our multi-cloud ML and data platform, with scalability, security, and cost built in from the start.

Building & Operating

Design, build, and operate infrastructure that deploys and scales ML models in production, using CI/CD, GitOps, Kubernetes, and orchestration tools such as Airflow, Kubeflow, or Argo Workflows.
Own automated training and retraining pipelines, including model registry, validation, deployment, and rollback, and agree on the retraining cadence with Data Science.
Deploy and operate LLM inference (self-hosted on AWS Bedrock or managed APIs), including GPU capacity, cost controls, and performance monitoring.
Manage training and inference infrastructure across AWS and GCP, including GPU workloads, using Terraform.
Work with Data Engineering to source and prepare training data from BigQuery and S3, building pipelines and light transformations as needed.
Build monitoring for model performance, latency, data drift, cost, and resource usage, using tools such as CloudWatch, Prometheus, and Grafana.
Support model versioning, experiment tracking (e.g., MLflow, SageMaker), and reproducible training workflows.
Lead troubleshooting of complex production and deployment issues, and take part in the Infrastructure on-call rotation.

Leadership & Collaboration

Set and document standards for infrastructure-as-code, CI/CD, observability, secure deployment, and ML workflow automation.
Write runbooks and self-serve guides so Product and Data teams can deploy, monitor, and troubleshoot with more autonomy.
Lead incident reviews and post-mortems that improve how we operate.
Mentor engineers through pairing, code review, and feedback.
Explain technical tradeoffs clearly to both technical and non-technical stakeholders.

What success looks like

First 30 days: Learn and support. You learn Later’s cloud infrastructure, Kubernetes environments, CI/CD workflows, and the data and ML platform, including how models are trained and deployed today. You start supporting existing pipelines and observability tools. By day 30 you know where the platform’s biggest gaps are and how Product and Data teams use it.

First 60 days: Contribute and improve. You own infrastructure and automation work across Kubernetes, AWS, CI/CD, and the ML platform. You make deployment pipelines more consistent and automated, improve GPU provisioning and monitoring for training and inference, and close gaps in alerting and runbooks. You’re already mentoring teammates on the patterns you’re introducing.

First 90 days: Own and scale. You own the path from a finished model to production. By day 90:

At least one production model is deployed, retrained, and rolled back through an automated pipeline, with no manual steps.
Drift, latency, and cost alerts are live for production models.
A first MLOps roadmap has been reviewed with Infrastructure, Data Science, and Data Engineering leads.
Security and compliance checks are built into the ML deployment path.

What you bring

7+ years of DevOps, cloud, or software engineering experience in production environments, including technical leadership: leading projects, setting direction, and mentoring others. People management is not required.
Deep expertise with Kubernetes (EKS), Helm, and microservices, including running GPU workloads on Kubernetes.
Hands-on AWS experience and a track record of using Terraform for scalable, auditable infrastructure as code.
Experience deploying, serving, and scaling ML models in production, including CI/CD for ML.
Experience building data and training pipelines in partnership with Data Science and Data Engineering teams.
Strong system design skills, including designing ML systems end to end and explaining the tradeoffs.
Clear communication with technical and non-technical audiences.

Nice to have

GCP experience, especially BigQuery.
Amazon SageMaker.
Self-hosted LLM deployments on Kubernetes (e.g., vLLM, KServe).
Orchestration and experiment tracking tools such as Airflow, Kubeflow, Argo Workflows, or MLflow.

If you don’t meet every requirement but this role sounds like you, we’d still love to hear from you.

How you work

Driven by Impact: You deliver results that matter - prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast - challenging the status quo with a mindset of improvement.
Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive - removing roadblocks, sharing insights, and keeping morale high.
Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. The salary range listed for this role reflects the zones that applies to the location of this posting.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary range:

For candidates located in the US: $125,000-205,000 USD For candidates located in the Canada: $110,000-160,000 CAD

Where we work:

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility:

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Apply on job-boards.greenhouse.io About employer

Report this job

Work requirements

Jobs in the United States