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7 results for Entry Level Software Engineer in Manhattan Beach, CA

Machine Learning Engineer

Los Angeles, California
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

Machine Learning Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

AI Software Developer

El Segundo, California
remote
Permanent / Full Time
110000 - 145000 USD / Yearly
We are seeking an AI Software Developer to help drive the next generation of AI-enabled business operations. This role is ideal for a developer or early-career AI engineer who enjoys solving real business problems, building practical solutions, and working directly with end users to improve how work gets done.This role serves as the hands-on implementation partner for AI initiatives across the organization. You'll work closely with business teams to understand their workflows, identify inefficiencies, design AI-enhanced processes, and build solutions ranging from prompt libraries and automations to lightweight applications and integrations. This is a highly visible role that combines software development, workflow engineering, AI enablement, and business process optimization. This position is fully remote within the United States with occasional travel for team meetings and planning sessions. As an AI Software Developer, you will embed with business teams to understand how work actually happens and identify opportunities where AI can create meaningful improvements. You'll help transform manual, repetitive, and high-friction processes into efficient AI-enabled workflows while maintaining appropriate human review and oversight. This is not a traditional software development role focused solely on feature delivery. Success requires technical expertise, curiosity, strong communication skills, and the ability to translate business challenges into scalable AI-powered solutions. You will partner with employees across operations, customer-facing teams, and technology functions to build solutions that deliver measurable productivity gains and operational improvements. For immediate consideration, apply now and direct message Reid Gormly on LinkedIN
2026-09-14T00:00:00Z

Senior Cloud Security Engineer

Los Angeles, California
onsite
Permanent / Full Time
155000 - 180000 USD / Yearly
Senior Cloud Security Engineer Company OverviewA global firm based in Los Angeles, California is seeking a Senior Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business. Role SummaryThe Senior Cloud Security Engineer will be a hands-on member of the Information Security team responsible for securing cloud infrastructure, enterprise data platforms, endpoints, identities, and business-critical systems. This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management. Key Responsibilities<ul><li>Serve as a security engineering resource for Microsoft Azure architecture, integrations, network security, identity, access controls, secrets management, and cloud security posture.</li><li>Partner with data engineering teams to secure cloud-based data and analytics platforms through appropriate authentication, encryption, network controls, logging, and secrets management.</li><li>Review security configurations and architecture for new cloud, application, and data platform integrations prior to production deployment.</li><li>Monitor, investigate, and respond to security events involving cloud, endpoint, email, identity, data protection, and enterprise systems.</li><li>Lead vulnerability identification, prioritization, remediation tracking, patch management, and cloud security configuration improvements.</li><li>Support identity security initiatives including Microsoft Entra ID, conditional access, managed identities, least privilege, and identity governance.</li><li>Develop and enhance cloud security monitoring, alerting, data protection, and incident response capabilities.</li><li>Apply Infrastructure-as-Code practices to help automate, standardize, and enforce secure cloud configurations.</li><li>Conduct security assessments and collaborate with technology vendors and managed security providers to identify and remediate risk.</li><li>Support governance, risk, compliance, audit, business continuity, and disaster recovery activities across the organization.</li></ul>Additional Details<ul><li>3 days onsite, 2 days remote</li><li>Hands-on security engineering role spanning cloud infrastructure, data platforms, security operations, and enterprise security</li><li>Close collaboration with data engineering, IT, technology vendors, and managed security providers</li><li>Opportunity to work across a broad cybersecurity technology stack within a highly regulated environment</li><li>Candidates must be authorized to work in the United States</li></ul>
2026-09-18T00:00:00Z

Entry-Level Litigation Attorney

Los Angeles, California
onsite
Permanent / Full Time
120000 - 170000 USD / Yearly
A highly regarded firm in Century City is seeking a Litigation Associate to join its growing team, focusing on securities litigation and insurance defense matters. The firm is open to entry-level attorneys and offers hands-on training and mentorship, making this an excellent opportunity to build a strong litigation foundation. We’ve successfully placed attorneys with this firm who are thriving and genuinely happy, reflecting the team’s supportive and collaborative culture. Key Responsibilities: • Assist with all phases of litigation, including pleadings, motions, and discovery • Conduct legal research and draft memoranda • Support depositions, hearings, and trial preparation • Work closely with senior attorneys on securities and insurance defense matters • Communicate with clients and assist with case strategy Qualifications: • Admitted to the California Bar • Interest in securities litigation and/or insurance defense • Strong writing, analytical, and organizational skills • Eagerness to learn and grow in a collaborative environment What the Firm Offers: • 1900 billable hour target • Hybrid schedule (3 days in-office) • Comprehensive benefits: medical, dental, vision, 401(k), and PTO • Structured training and mentorship from experienced attorneys • Collaborative, team-oriented environment • Proven track record of employee satisfaction and retentionIf you’re looking to launch or grow your litigation career with strong mentorship and meaningful work, I’d love to connect. Submit resumes only to Vice President, Quidana Dove at Quidana.Dove<at>RobertHalf.<com>
2026-09-11T00:00:00Z

Agent Platform Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Senior ServiceNow Developer

San Gabriel Valley, California
onsite
Permanent / Full Time
108000 - 150000 USD / Yearly
Senior ServiceNow Developer Company OverviewA leading multi-location organization in the retail and consumer services industry is seeking a Senior ServiceNow Developer to support enterprise technology transformation initiatives. Based in the San Gabriel Valley, California, the company operates a large, complex technology environment and is committed to leveraging innovation, automation, and service management best practices to improve business operations. This is an opportunity to join a highly collaborative team focused on delivering impactful enterprise solutions across a growing organization. Role SummaryThe Senior ServiceNow Developer will serve as a key technical leader responsible for designing, developing, integrating, and optimizing ServiceNow solutions across the enterprise. This role will partner closely with business stakeholders, infrastructure teams, and external partners to deliver scalable solutions across ITSM, CMDB, Asset Management, ITOM, Virtual Agent, and related platforms. The ideal candidate combines strong ServiceNow development expertise with a consultative mindset, excellent communication skills, and a passion for continuous improvement. Key Responsibilities<ul><li>Design, develop, and enhance ServiceNow solutions across ITSM, ITOM, CMDB, Asset Management, Virtual Agent, Incident, Problem, Change, and Service Catalog modules.</li><li>Build and maintain integrations between ServiceNow and enterprise applications, identity platforms, monitoring tools, HR systems, and other third-party technologies.</li><li>Configure workflows, forms, business rules, scripts, APIs, and automations to improve operational efficiency.</li><li>Support CMDB strategy, service mapping, asset relationships, and configuration management initiatives.</li><li>Partner with business stakeholders to gather requirements, analyze processes, and deliver scalable technical solutions.</li><li>Implement and support ITIL-aligned service management processes and platform enhancements.</li><li>Develop automation solutions that streamline communication, service delivery, and operational workflows.</li><li>Collaborate with internal developers and external partners to deliver enterprise-scale projects and platform improvements.</li><li>Maintain technical documentation, knowledge articles, and platform standards.</li><li>Provide platform training, support, and guidance to business and technical stakeholders.</li><li>Evaluate emerging ServiceNow capabilities and recommend enhancements that align with organizational goals.</li><li>Contribute to platform governance, roadmap planning, and continuous improvement efforts.</li></ul>Additional Details<ul><li>Work model: 4 days onsite</li><li>High-impact role supporting numerous strategic ServiceNow initiatives and enhancement projects</li><li>Opportunity to serve as a key internal subject matter expert while influencing platform direction and service management strategy</li></ul>
2026-09-02T00:00:00Z