Senior Software Engineer, AI & ML Ops Job at Hyundai AutoEver America (Irvine)

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

Fulltime

Senior Full Stack Software Engineer

Tutor Intelligence builds software to enable ordinary robots to achieve extraord...

Location

United States , Watertown

Salary:

140000.00 - 190000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

Strong programming skills in Python
Software engineering tooling: git, unix shell, etc
Collaborative nature and social skill set
Interest in robotics, AI, solving hard problems, or improving the future of humanity
Passion for building things (and just getting stuff done)

Job Responsibility

Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
Involvement in new project planning

What we offer

generous equity
fully covered health + dental
unlimited PTO

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
4+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes

What we offer

equity and benefits

Fulltime

Senior Principal Technical Program Manager - ML Platform

Location

Salary:

231300.00 - 301975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
Deep domain experience in AI and/or Search. Example: Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance, etc.
Partner with Engineering in defining direction, strategy and execution at Platform level
Strategic thinking and ability to understand business objectives to translate them into technical problems and programs.
Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc.
TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such.
Experience defining and running end-to-end complex technical programs
Strong leadership, organizational, and communication skills

Job Responsibility

Understand and stay up-to-date on latest innovations in AI and Search. Partner closely with engineering teams to translate these into practical platform evolution for Atlassian bringing value to our customers.
Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components.
Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment.
Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more.
Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems.
Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these.
Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc.
Manage complex dependencies and projects with a broad scope across the company

What we offer

health and wellbeing resources
paid volunteer days

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

New

Sr Program Manager Tech - Gen AI

Lead program delivery and client engagement in the domain of AI training and eva...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

167000.00 - 185500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains
Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required
Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams
Familiarity with strategies for delivery and QC processes in this domain is required
Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
Ability to work in a global organization across locations and time zones

Job Responsibility

Client engagement for presales support - partner with Sales to interact with prospective clients to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach
Client engagement for program delivery - represent the service delivery organization and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams
Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required
Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI with prospective clients
Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals
Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking
Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Senior AI Software Engineer

We are seeking a highly skilled, fast learner and well rounded, AI Software Engi...

Location

Philippines , Makati City

Salary:

Not provided

Avaloq

Expiration Date

Until further notice

Requirements

At least M.Sc. degree in Computer Science, Engineering, or a related field
Strong background in data science, statistics, and experimental thinking
Understanding of data structures, algorithms, and software design principles
Effective communication and collaboration skills
Excellent analytical, coding, and debugging skills in Python
At least 5 years of experience in Full-Stack Software Development
At least 3 years of applied ML experience, with 1 year of experience with LLMs and Agents
Proven track-record of deploying and maintaining AI models in production
ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar
RAG pipelines with vector stores (e.g., Chroma, Qdrant)

Job Responsibility

Lead AI experiments and develop solutions from ideation to production
Collaborate with cross-functional teams to design and implement Agentic AI solutions
Develop advanced prompts, multi-Agents architecture and tools
Deploy and maintain LLM based solutions in production
Optimize solutions for performance, cost, and scalability
Stay up-to-date and evaluate the latest advancements in AI research and related regulations

What we offer

Annual bonus
Flexible working
Instant recognition
Access to Udemy for professional and personal learning

Fulltime

Senior Software Engineer, AI & ML Ops

Hyundai AutoEver America

Location:
United States , Irvine

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

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