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11 results for Machine Learning Engineer in Los Angeles, CA

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-09-02T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-08-13T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Data Engineer Company OverviewA leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence. Role SummaryThe Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms. Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul>Additional Details<ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
2026-08-20T00:00:00Z

Senior Data Engineer

Glendale, CA
onsite
Temporary / Contract
78 - 83 USD / Hourly
Senior Data Engineer (Contract)Location: Glendale, CA | HybridEmployment Type: Long Term ContractPay: Available on W2 BasisPosition OverviewWe are seeking a Senior Data Engineer to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.The ideal candidate will bring strong expertise in Databricks, Python, Apache Spark, and Terraform, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
2026-08-24T00:00:00Z

Data & Systems Engineer

Los Angeles, CA
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
Data & Systems Engineer Company OverviewA mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through advocacy, community engagement, and operational excellence. The organization relies on technology, data, and analytics to drive informed decision-making, improve organizational effectiveness, and support strategic initiatives. This is an opportunity to join a collaborative environment where data and systems play a critical role in advancing organizational goals. Role SummaryThe Data & Systems Engineer will serve as a key technical resource responsible for managing enterprise business systems, optimizing data architecture, and expanding reporting capabilities. This role combines Salesforce administration, data engineering, systems management, and business intelligence responsibilities. The ideal candidate will have strong expertise in Salesforce, SQL, data integration, reporting, and system administration, along with the ability to translate business requirements into scalable technical solutions. Key Responsibilities<ul><li>Serve as the primary administrator for enterprise business applications, including CRM and related systems.</li><li>Manage system configuration, security, user administration, workflows, validations, and platform enhancements.</li><li>Develop and maintain reports, dashboards, and business intelligence solutions.</li><li>Build, optimize, and support data pipelines, data architectures, and reporting environments.</li><li>Manage data integrations and migrations between internal and third-party systems.</li><li>Ensure data integrity through cleansing, deduplication, audits, data loads, and ongoing governance practices.</li><li>Create and maintain backup, recovery, and disaster recovery strategies.</li><li>Perform root cause analysis and troubleshoot system, data, and reporting issues.</li><li>Develop processes supporting data transformation, metadata management, and workload optimization.</li><li>Maintain system documentation, audit logs, and change management processes.</li><li>Collaborate with cross-functional teams to gather requirements and implement technology solutions.</li><li>Provide user support, troubleshooting, training, and guidance on system functionality.</li><li>Recommend process improvements and technology enhancements that increase operational efficiency.</li></ul>Additional Details<ul><li>Hybrid onsite 3 days a week</li><li>Full-time exempt position</li><li>Opportunity to support enterprise-wide technology, data, and reporting initiatives</li><li>Fast-paced environment requiring strong organizational skills and adaptability</li><li>Collaboration with business, analytics, development, and leadership teams across the organization</li></ul>
2026-08-21T00:00:00Z

Cloud Engineer

Rosemead, CA
onsite
Permanent / Full Time
155000 - 160000 USD / Yearly
Job TitleDevOps Engineer Company OverviewA leading enterprise organization in the consumer and retail services sector, based in San Gabriel Valley, California, is focused on delivering scalable, secure, and innovative technology solutions across a large, distributed environment. The company is committed to modernizing its infrastructure through cloud adoption, automation, and advanced identity management, enabling high-performance operations and long-term growth. Role SummaryThe Senior Cloud Solutions Architect will lead the design, implementation, and governance of enterprise cloud architecture in San Gabriel Valley, California. This role serves as a strategic and hands-on technical leader responsible for driving cloud transformation, identity management, and infrastructure modernization across hybrid and multi-cloud environments. The position partners closely with cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives. Key Responsibilities<ul><li>Design and implement enterprise cloud architecture across Azure, AWS, and hybrid environments</li><li>Define architecture standards, frameworks, and best practices for scalable and secure cloud solutions</li><li>Lead cloud migration, modernization, and cloud-native initiatives across business platforms</li><li>Architect and manage identity systems, including Active Directory and cloud-based identity services</li><li>Oversee design, governance, and optimization of enterprise productivity and collaboration platforms</li><li>Drive adoption of Infrastructure as Code (IaC), automation, and DevOps best practices</li><li>Partner with security teams to ensure compliance with industry standards and secure design principles</li><li>Collaborate with engineering and finance teams to optimize cloud performance, scalability, and cost</li><li>Provide technical leadership, mentorship, and architectural guidance across teams</li><li>Evaluate emerging technologies and recommend strategies for continuous improvement and innovation</li></ul>Compensation & Benefits<ul><li>$155,000 - $160,000 plus discretionary bonus and stock</li><li>Comprehensive medical, dental, and vision coverage with strong employer contribution</li><li>Retirement savings plan with company match</li><li>Employee discounts and additional wellness-focused benefits</li><li>Competitive total rewards package with long-term growth opportunity</li></ul>Additional Details<ul><li>4x per week onsite in San Gabriel Valley</li><li>Flexible start times to support work-life balance</li><li>High-impact role working closely with infrastructure leadership</li><li>Opportunity to shape enterprise cloud strategy in a large-scale environment</li></ul>
2026-08-19T00:00:00Z

Business Intelligence (BI) Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-09-02T00:00:00Z

Infrastructure Engineer

Los Angeles, CA
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
Job TitleSystems Engineer Company OverviewA well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services. Role SummaryThis on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects. Key Responsibilities<ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul>Compensation & Benefits<ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul>Additional Details<ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
2026-09-02T00:00:00Z

M365 Systems Engineer

Encino, CA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
Microsoft 365 Systems Engineer Company OverviewA well-established organization in the professional services sector is seeking a Microsoft 365 Systems Engineer to join its internal technology team in Los Angeles, California. The company supports a dynamic, multi-office environment and is committed to leveraging modern technology, cybersecurity best practices, and cloud-based solutions to drive operational excellence. This role offers the opportunity to make a meaningful impact by enhancing collaboration, security, and productivity across the organization. Role SummaryThe Microsoft 365 Systems Engineer will be responsible for administering, securing, and continuously improving the organization's Microsoft 365 ecosystem while supporting broader infrastructure and endpoint technologies. This hands-on position is ideal for a security-focused systems professional who enjoys solving complex technical challenges, delivering automation solutions, supporting end users, and leading technology initiatives. Based in the Los Angeles, California area, this role combines operational support, systems engineering, security governance, and project execution. Key Responsibilities<ul><li>Administer, maintain, and optimize Microsoft 365 services including Entra ID, Exchange Online, SharePoint, OneDrive, Teams, Intune, Defender, Purview, and related cloud technologies</li><li>Manage user identities, access controls, group policies, role-based permissions, multifactor authentication, and conditional access configurations</li><li>Support governance and administration of AI-enabled workplace technologies while ensuring appropriate security and data protection controls</li><li>Oversee endpoint management activities, including device enrollment, application deployment, compliance policies, security baselines, and lifecycle management</li><li>Implement, monitor, and enhance cybersecurity controls across cloud and endpoint environments</li><li>Maintain data protection, retention, auditing, information governance, and compliance-related configurations</li><li>Support patch management, vulnerability remediation, endpoint hardening, and secure configuration standards</li><li>Troubleshoot and administer Windows, macOS, iOS, Android, networking components, and business-critical SaaS platforms</li><li>Develop and maintain PowerShell scripts and automation workflows to improve operational efficiency and reduce manual effort</li><li>Create technical documentation, support procedures, knowledge base content, and end-user training materials</li></ul>Compensation & Benefits<ul><li>$100,000-$120,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>Retirement savings plan with employer matching contributions</li><li>Professional development and certification support opportunities</li></ul>Additional Details<ul><li>Onsite with remote flexibility on an ad-hoc need basis</li><li>Participation in after-hours maintenance, upgrades, and incident response activities may be required</li><li>Up to 20% regional travel may be required</li><li>Opportunity to contribute ideas, influence technology strategy, and help shape future platform decisions in collaborative environment</li></ul>
2026-08-26T00:00:00Z

Director, Mobile & Platform Engineering

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
Director of Mobile & Platform Engineering Company OverviewA leading consumer products and eCommerce organization based in Los Angeles, California is redefining the customer experience through innovation, technology, and operational excellence. The company develops highly scalable digital platforms that support rapid business growth, global commerce operations, and seamless customer engagement. With a collaborative and performance-driven culture, the organization invests heavily in technology, talent, and long-term platform scalability. Role SummaryWe are seeking an experienced Director of Mobile & Platform Engineering to lead the strategy, architecture, scalability, and delivery of critical commerce technology platforms. This leadership role will oversee cloud-based middleware services and mobile engineering initiatives while partnering closely with Product, Design, Infrastructure, Security, and Data teams. The ideal candidate brings a blend of hands-on technical expertise, engineering leadership, and operational excellence within high-growth digital environments. Key Responsibilities<ul><li>Lead the architecture, technical strategy, and operational health of cloud-based middleware platforms.</li><li>Drive engineering best practices across backend services, APIs, distributed systems, and service-oriented architectures.</li><li>Ensure platform reliability, scalability, observability, and security during high-volume business events and traffic spikes.</li><li>Establish standards for performance optimization, caching, monitoring, incident response, and fault-tolerant design.</li><li>Oversee mobile engineering efforts, ensuring scalable, high-performing, and maintainable mobile applications.</li><li>Own release management processes, deployment strategies, and production readiness for mobile platforms.</li><li>Lead and mentor engineering managers and software engineers, fostering accountability, collaboration, and technical excellence.</li><li>Partner with cross-functional stakeholders to translate business requirements into scalable technical solutions.</li><li>Identify and mitigate technical risks while balancing delivery speed with long-term platform sustainability.</li><li>Drive continuous improvement in architecture, code quality, testing, documentation, and operational readiness.</li></ul>Additional Details<ul><li>Hybrid work environment</li><li>Opportunity to lead mission-critical commerce and mobile platforms</li><li>High visibility role reporting to executive engineering leadership</li><li>Significant influence on technology strategy, platform scalability, and engineering culture</li><li>Collaborative, fast-paced environment focused on innovation and continuous improvement</li></ul>
2026-08-05T00:00:00Z

AI Engineering Lead

Los Angeles, CA
onsite
Permanent / Full Time
225000 - 250000 USD / Yearly
Lead AI Engineer Company OverviewA leading consumer products and eCommerce organization based in Los Angeles, California is transforming the customer experience through innovation, technology, and data-driven decision-making. The company is focused on building scalable digital solutions that support business growth, operational excellence, and exceptional customer engagement. With a collaborative and forward-thinking culture, the organization empowers teams to solve complex challenges through modern technology and continuous innovation. Role SummaryWe are seeking an experienced Lead AI Engineer to drive the strategy, design, development, and deployment of enterprise-scale artificial intelligence solutions. Based in Los Angeles, California, this role will partner closely with business leaders, product teams, and engineering stakeholders to deliver AI-powered applications that create measurable business impact. The ideal candidate combines deep technical expertise with leadership experience and a passion for bringing innovative AI solutions from concept to production. Key Responsibilities<ul><li>Lead the architecture, development, and deployment of scalable AI applications and intelligent workflow solutions.</li><li>Partner with business and technical stakeholders to identify opportunities where AI can improve efficiency, decision-making, and customer experiences.</li><li>Design and implement enterprise-grade AI systems with a focus on reliability, security, scalability, and performance.</li><li>Provide technical leadership, mentorship, and best practices guidance to engineering teams working on AI initiatives.</li><li>Develop integrations between AI platforms, cloud services, APIs, and enterprise business systems.</li><li>Establish standards for model evaluation, monitoring, governance, observability, and cost optimization.</li><li>Build and optimize AI-powered applications utilizing modern language models, retrieval systems, and agent-based architectures.</li><li>Contribute to technical roadmaps, architecture reviews, documentation, testing, deployment, and continuous improvement efforts.</li><li>Promote AI-assisted engineering practices that improve software quality, efficiency, and delivery speed.</li></ul>Additional Details<ul><li>Hybrid work model</li><li>Full-time position</li><li>Opportunity to shape enterprise AI strategy and adoption</li><li>High-visibility role with significant cross-functional collaboration</li><li>Fast-paced, innovative technology environment focused on growth and continuous improvement</li></ul>
2026-08-05T00:00:00Z