software engineer

data engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai engineer ai data platforms aidp

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
Our mission at LendingClub is to empower those who strive to achieve better financial health. The Data and Analytics team plays a crucial role in achieving our mission. 
 
We are seeking a Principal Data Engineer to lead the design and evolution of data systems that power batch processing, real-time streaming, pipeline orchestration, data lake management, data cataloging, and machine learning workflows. This role has a strong emphasis on enabling and scaling machine learning and analytics use cases, including feature engineering, model training, and inference data pipelines. 
 
In this role, you will apply deep technical expertise, architectural thinking, and hands-on development to solve complex big data and ML platform challenges. You will partner closely with Data Science, Product, and Platform teams to build reliable, scalable, and cost-efficient data foundations that support both analytics and production machine learning systems.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Design, build, and own large-scale data and ML data pipelines that integrate directly with LendingClub&rsquo;s products and external vendors</li><li>
Design and operate data platforms where autonomous coding agents help maintain pipelines, schemas, and tests, while you own architecture and guardrails.</li><li>
Lead the architecture and implementation of MLOps including feature stores, training datasets, batch and real-time inference pipelines</li><li>
Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, and modern data platforms like Databricks and Snowflake, across the AWS cloud stack</li><li>
Partner with Data Scientists to productionize ML workflows and ensure data reliability, reproducibility, and performance</li><li>
Identify, design, and implement automation of manual processes, optimizing data delivery, improving system reliability, and reducing cloud costs</li><li>
Implement processes and systems to monitor Data Quality, Observability, Governance, Lineage, and ML data consistency</li><li>
Define policies, workflows, and quality gates for using AI agents in production data systems.</li><li>
Provide technical leadership and mentorship, influencing data engineering standards, best practices, and long-term platform strategy</li><li>
Coach teams on decomposing work, supervising agents, and validating AI-generated changes.</li><li>
Support operations to manage the production environment and lead root cause analysis (RCA) for complex data and ML pipeline issues</li><li>
Write unit and integration tests, advocate for test-driven development, contribute to engineering documentation and design reviews<div>
What You'll Do</div></li><li>
Build and govern data pipelines that support model training, feature generation, retrieval-augmented workflows, or AI-driven analytics</li><li>
Enable secure, production-grade access patterns for AI use cases through curated datasets, semantic layers, metadata, monitoring, and policy-aware data services</li><li><div> 
About You</div></li><li>
You are highly fluent in modern AI data ecosystems and understand how to build the foundations required for AI and GenAI applications to succeed in production</li><li>
You know how data quality, lineage, retrieval patterns, feature access, vector storage, governance, and real-time or batch serving architectures influence AI system performance and trustworthiness</li><li>
You can evaluate tradeoffs, guide platform direction, and enable teams to build AI-ready data products responsibly and at scale</li></ul><h2 class="jobSectionHeader">
About You</h2><ul><li>
8+ years of data engineering experience with deep hands-on experience with distributed data systems including Hadoop, Spark, Hive, DBT, and Airflow/Dagster</li><li>
Bachelor&rsquo;s degree in computer science or a related field, or equivalent work experience</li><li>
5+ years of production-quality Python experience, building and maintaining large-scale data pipelines</li><li>
Strong experience building machine learning use cases through data engineering (e.g., feature engineering pipelines, training/inference data flows)</li><li>
Experience working with public cloud platforms, preferably AWS</li><li>
Experience with Databricks and/or Snowflake in production environments</li><li>
Strong working knowledge of Git, JIRA, Jenkins, shell scripting</li><li>
Familiarity with Agile methodologies, test-driven development, source control management, and test automation</li><li>
Proven ability to work across cross-functional teams in a fast-paced, dynamic environment</li><li>
Excellent collaborative problem-solving and communication skills, with the ability to influence without authority</li><li>
A track record of designing and delivering scalable, reliable, and high-quality data platforms</li><li>
Nice to have: experience building data pipelines for Digital Marketing use cases</li></ul>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 198,000-230,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-JT1 
 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Principal Data Engineer

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.<h1 class="jobSectionHeader">
The Opportunity</h1>
We are building something unprecedented &mdash; an AI foundation that will push the frontier on what is possible today across drug discovery research, from target identification and disease biology through translational science.
The Applied Intelligence for Discovery (AI4D) team is a newly formed group within Lilly Research Laboratories that operates at the intersection of scientific delivery and core platform development. AI4D&rsquo;s mission is connecting scientists to petabyte-scale data through natural language interfaces, automated analysis workflows, and intelligent search &mdash; and to convert early deployments into repeatable system standards and evaluation practices that scale across therapeutic areas.
As a Scientific Data Engineer, you will close that gap. You will build the semantic layer, data harmonization infrastructure, AI-ready data products, and lakehouse architecture that bridge how data is stored and how AI systems need to consume it. You will be working at the intersection of the data infrastructure team and the generative AI engineers who build the systems scientists interact with.<h1 class="jobSectionHeader">
Responsibilities</h1><h2 class="jobSectionHeader">
Data Harmonization and Lakehouse Architecture</h2><ul><li>
Design and build the data architecture that transforms raw and processed omics data into harmonized, AI-consumable layers</li><li>
Build and optimize ETL/ELT pipelines that produce denormalized views, pre-computed aggregations, embedding-ready text representations, and feature stores optimized for AI system consumption</li><li>
Implement data quality monitoring, automated profiling, and validation checks across harmonization layers</li><li>
Create versioned, reproducible data snapshots that support model training, evaluation, and audit requirements in a regulated environment</li><li>
Partner with the teams to extend harmonization patterns as data modalities expand beyond genomics and proteomics into spatial transcriptomics, perturbational data (Perturb-Seq), single-cell, and digital pathology</li></ul><h2 class="jobSectionHeader">
Semantic Layer and Schema Engineering</h2><ul><li>
Design and maintain a semantic layer over Lilly&rsquo;s multi-omics databases that enables AI systems</li><li>
Create comprehensive schema documentation: table descriptions, column-level annotations, relationship mappings, business logic rules, and domain-specific constraints (e.g., statistical thresholds, unit conventions, experimental design metadata)</li><li>
Develop gold-standard question/SQL pairs for each major database, in collaboration with computational biologists and Generative AI Engineers, to serve as training data, few-shot examples, and evaluation benchmarks</li><li>
Build and maintain a data dictionary and ontology mapping layer that translates how scientists think and speak about data (gene names, pathway terms, assay types) into how the data is physically stored</li></ul><h2 class="jobSectionHeader">
AI-Ready Data Products</h2><ul><li>
Build and manage vector embedding pipelines for scientific documents, study metadata, and structured data descriptions to power RAG-based retrieval</li><li>
Build integration pipelines that connect heterogeneous data sources &mdash; omics databases, internal publications, electronic lab notebooks, assay results, and clinical annotations &mdash; into a unified, queryable layer</li><li>
Develop and enforce metadata standards that ensure new data sources are AI-accessible from the point of ingestion, not retroactively</li><li>
Design data products that serve multiple consumption patterns: direct SQL access for computational biologists, structured feeds for ML training pipelines, and semantic interfaces for LLM-powered tools</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Bachelors degree in Computer Science, Data Engineering, Bioinformatics, or a related field + 8 years data engineering experience OR Masters degree and 5 years data engineering experience</li><li>
Demonstrated expertise in building data pipelines, ETL/ELT workflows, and data products that serve downstream AI/ML systems</li></ul><h1 class="jobSectionHeader">
Additional Skills/Preferences</h1><ul><li>
Phd in data or related field</li><li>
Strong SQL skills and experience with complex relational database schemas (hundreds of tables, multi-level joins, domain-specific conventions)</li><li>
Experience with modern data platform technologies, including at least one of: Databricks, Snowflake, or equivalent lakehouse platforms</li><li>
Experience with modern data engineering tools: dbt, Spark, Airflow, or similar orchestration and transformation frameworks</li><li>
Proficiency in Python for data processing, scripting, and pipeline development</li><li>
Experience with cloud data platforms (AWS preferred: Redshift, Athena, Glue, S3, or similar)</li><li>
Familiarity with at least one of: vector databases, embedding pipelines, or semantic layer tooling</li><li>
Strong communication skills &mdash; you can work effectively with both engineers who think in schemas and scientists who think in biology</li><li>
Experience with biomedical or scientific data: omics datasets (RNA-seq, proteomics, GWAS), clinical data, or laboratory information management systems</li><li>
Experience in pharmaceutical, biotech, or life sciences environments</li></ul><ul><li>
Familiarity with biomedical ontologies and controlled vocabularies (Gene Ontology, MeSH, ChEBI, HGNC) and their application to data integration</li><li>
Experience building data products that serve AI/ML systems &mdash; feature stores, training datasets, evaluation benchmarks, or semantic annotations for text-to-SQL</li><li>
Knowledge of data governance practices in regulated industries: data lineage, access controls, versioning, and auditability</li><li>
Experience with knowledge graph technologies (Neo4j, Amazon Neptune, RDF/SPARQL) or graph-based data modeling</li><li>
Deep experience with Databricks ecosystem: Unity Catalog for data governance, Delta Lake for ACID transactions, MLflow integration, and Databricks SQL for analytics workloads</li><li>
Experience designing data architectures that bridge traditional bioinformatics workflows (Nextflow, R/Bioconductor) with modern lakehouse consumption patterns</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$166,500 - $266,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - Scientific Data Engineer

Samba TV

<div>
 
 
 Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.
 
 
 
 
 
 
 Samba is looking for a Director of Content Marketing to lead and elevate our content strategy end-to-end. In this role, you will build a high-performing content engine, our own editorial newsroom, powered by Samba&rsquo;s unmatched media intelligence across TV, web, and emerging platforms. You&rsquo;ll shape the stories that define our brand, showcasing our industry-leading TV and digital viewership data, AI/ML innovations, agentic workflow solutions, and next-generation ad tech products.&nbsp;
 
 
 
 &nbsp;
 
 
 
 As a senior leader operating at the intersection of advanced AI technology and programmatic advertising, you will translate complex data science concepts into clear, compelling content that engages advertisers, agencies, publishers, and technology partners. You will own the full content lifecycle from ideation to distribution, while partnering closely with Product Marketing, PR, Sales, Technical teams, and executive leadership to ensure alignment and impact across the organization. You will manage a small scale high performing team. Deliverables will depend on your storytelling skills and ability to project manage creation of snackable quick visual bites of insights (charts, infographics, etc), as well as shorter reports.
 
 
 
 
 
 
 What You'll Do
 
 <ul>
 
 <li>
 
 Content Strategy &amp; Execution
 
 
 <ul>
 
 <li>
 Build and lead a high-performing content engine, our editorial newsroom, leveraging Samba&rsquo;s cross-screen media intelligence.
 </li>
 
 <li>
 Drive a focused content strategy aligned with launches, GTM priorities, and audience needs.
 </li>
 
 <li>
 Produce high-impact, multi-format content (reports, visuals, articles, social, case studies, videos, enablement).
 </li>
 
 <li>
 Translate complex data and AI/ML concepts into clear, snackable narratives.
 </li>
 
 <li>
 Create repeatable storytelling frameworks around cross-screen insights, measurement, AI audiences, and ad effectiveness.
 </li>
 
 <li>
 Own the content calendar end-to-end for timely, high-quality output.
 </li>
 
 <li>
 Collaborate with data science, product, and engineering for accuracy and clarity.
 </li>
 
 </ul>
 
 </li>
 
 <li>
 
 Thought Leadership &amp; Brand Storytelling
 
 
 <ul>
 
 <li>
 Position Samba as the leader in AI-driven advertising, cross-screen measurement, and the future of streaming.
 </li>
 
 <li>
 Partner with PR/Comms on executive thought leadership, media narratives, and analyst/conference content.
 </li>
 
 <li>
 Identify content opportunities from trends, competition, customer insights, and internal innovation.
 </li>
 
 <li>
 Ensure narrative consistency across touchpoints and develop strong customer stories that demonstrate ROI.
 </li>
 
 </ul>
 
 </li>
 
 <li>
 
 Social &amp; Distribution
 
 
 <ul>
 
 <li>
 Manage and optimize distribution across LinkedIn, X, and other channels.
 </li>
 
 <li>
 Lead social strategy to amplify thought leadership and product news.
 </li>
 
 <li>
 Monitor engagement and performance to refine content decisions
 </li>
 
 <li>
 Collaborate with Digital Marketing to support GEO, SEO, SEM, and paid promotion.
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Who You Are
 
 <ul>
 
 <li>
 
 7-10+ years in content marketing; bonus if in ad tech, martech, data platforms, or SaaS.
 
 </li>
 
 <li>
 
 Comfortable and excited about creating content topics around AI/ML, data science, predictive analytics, and AI-driven marketing.
 
 </li>
 
 <li>
 
 Hands-on use of AI tools (e.g., GPT, Claude, autonomous agents, orchestration frameworks).
 
 </li>
 
 <li>
 
 Can work independently driving projects end-to-end, while also managing a team of high - performers.
 
 </li>
 
 <li>
 
 Exceptional writer/storyteller able to simplify technical concepts for varied audiences.
 
 </li>
 
 <li>
 
 Full-stack creator for visual form content, long-form reports, and social posts
 
 </li>
 
 <li>
 
 Curious, collaborative, and effective across Product, Sales, Marketing, and Exec teams.
 
 </li>
 
 <li>
 
 Learns quickly and thrives in fast-changing environments.
 
 </li>
 
 <li>
 
 Bias for action&amp;mdash;ships, learns, iterates.
 
 </li>
 
 <li>
 
 Writes in a clear, human, on-brand voice.
 
 </li>
 
 <li>
 
 Comfortable speaking at conferences.
 
 </li>
 
 <li>
 
 BA in Marketing, Communications, Journalism; advanced degree a plus.
 
 </li>
 
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 
 
 Samba expects to offer a base salary between $170,000 - $180,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba&rsquo;s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
</div>

Director of Content Marketing

Love Freedom Solution

<div>
 
 Full Stack Software Engineer (1&ndash;3 YOE) | AI Startup | Onsite &ndash; San Francisco
 
 
 About the Opportunity
 
 
 
 Lovefreedom Solution has the luxury to work with a
 
 high-growth, VC-backed startup
 
 building infrastructure for next-generation AI systems. This company works directly with leading AI labs and is scaling rapidly following strong early traction.
 
 
 They are hiring a
 
 Full Stack Software Engineer (1&ndash;3 years experience)
 
 to help build core product and infrastructure systems used at scale.
 
 
 This is a
 
 high-ownership, hands-on engineering role
 
 with direct exposure to cutting-edge AI workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and ship full-stack applications end-to-end
 </li>
 <li>
 Develop frontend systems using Next.js / React
 </li>
 <li>
 Contribute to backend services using Node.js or Python
 </li>
 <li>
 Work with Kubernetes-based infrastructure
 </li>
 <li>
 Design scalable systems supporting high-volume user workflows
 </li>
 <li>
 Partner with internal teams and stakeholders in a client-facing capacity
 
 
 </li>
 </ul>
 
 Required Qualifications (Non-Negotiable)
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Full Stack Engineer
 </li>
 <li>
 Experience at:
 </li>
 <ul>
 <li>
 High-growth VC-backed startup, OR
 </li>
 <li>
 Top trading firm, OR
 </li>
 <li>
 Founding engineer at startup that raised $2.5M+
 
 </li>
 </ul>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Strong full-stack experience:
 </li>
 <ul>
 <li>
 Frontend: React, Next.js
 </li>
 <li>
 Backend: Node.js or Python
 </li>
 </ul>
 <li>
 Kubernetes (required)
 </li>
 <li>
 Experience with Kafka, Redis, or Elasticsearch is a plus
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Proven ability to build products end-to-end
 </li>
 <li>
 Strong sense of ownership and execution
 </li>
 <li>
 Comfortable in a fast-paced, startup environment
 </li>
 <li>
 Strong communication skills (client-facing exposure required)
 
 
 </li>
 </ul>
 
 Work Environment
 
 
 
 <ul>
 <li>
 Onsite: San Francisco (FiDi) &ndash; 5 days/week
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 High-performance, fast-moving team
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $180K &ndash; $250K base
 </li>
 <li>
 Competitive equity package
 
 
 </li>
 </ul>
 
 Right to Represent
 
 
 
 By applying, you agree to be represented by
 
 Lovefreedom Solution
 
 for this opportunity.
 
 
 Skills: kubernetes,node.js,stack,infrastructure,software,react,san,high-growth,ownership,python
</div>

Software Engineer

OpenAI

About the team
 
The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
 
About the Role
 
The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team's mandate is ambitious yet simple:
 
1) The CFO Org has the data required to be Public Company Ready.
 
2) The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.
 
3) Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.
 
As an Data Engineer on the Finance Data team, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
 
In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
 
We are looking for a seasoned Data Engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. In this role you will serve the Head of Supply Chain Systems and be responsible for leading our manufacturing, OTC data mart strategy. The goal is to enable end-to-end asset and inventory traceability for our supply chain infrastructure by end of year 2026. We actually need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
 
You might thrive in this role if you: 
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 
Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$293K – $325K + Offers Equity

Data Engineer, Finance

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Engineer, Analytics

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