DATA & AI STAFFING LOS ANGELES

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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology

What You’ll Work On

• Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
• Design novel algorithms to integrate and differentiate across omics modalities
• Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
• Push the state of the art – we are building models that do not exist yet

Agentic AI for Life Sciences

• Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
• Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
• Integrate agents with internal databases, experimental systems, and third-party scientific tools
• Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis

Production ML Infrastructure

• Own model deployment, scaling, and serving infrastructure
• Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
• Partner with software engineering on integration into our broader platform
• Maintain reliability, performance, and observability across deployed models

What We’re Looking For

Required

• Strong hands-on ML/AI engineering experience – you write real code, not just direct others
• Deep proficiency in Python and PyTorch – this is non-negotiable
• Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
• Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
• Experience with LangChain and/or LangGraph for agentic pipeline development
• Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
• Comfort with large-scale distributed training tools: DeepSpeed, xFormers
• Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
• Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
• Excellent communication skills – you can explain a training run to a chemist

Strongly Preferred

• Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
• Background in computational biology, computational chemistry, or bioinformatics
• Prior work in biotech, pharma, or life sciences AI (not required but a plus)
• Experience building or contributing to multi-agent systems in a production environment
• Track record of independent research or open-source contributions in ML

Technical Skills Summary

Core ML / Training

• PyTorch – primary framework
• DeepSpeed – distributed training and ZeRO optimization
• xFormers – memory-efficient attention and transformer components
• Hugging Face Transformers, PEFT, Accelerate
• Training and fine-tuning large language and multimodal models

Inference & Deployment

• NVIDIA TensorRT-LLM – high-performance LLM inference
• NVIDIA Dynamo – inference orchestration and scheduling
• Triton Inference Server – model serving and batching
• Model quantization, distillation, and latency optimization

Agentic & Orchestration

• LangChain / LangGraph – agent design and multi-agent orchestration
• Tool-use, RAG pipelines, and memory systems
• API and system integration across scientific data sources

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Senior Backend Engineer

Los Angeles or San Francisco, CA (Hybrid) | Full-Time | Confidential Client

The Opportunity

We’re partnering exclusively with a pre-IPO AI technology unicorn approaching its Series D. The company builds AI-powered consumer experiences at massive scale, sitting at the intersection of real-time AI inference, interactive media, and high-throughput compute. With a clear pathway to widespread consumer adoption, this is a rare opportunity to join a high-caliber engineering team ahead of a significant liquidity event.

About the Role

The team is looking for a Senior Backend Engineer who can operate across two distinct but complementary challenges. The first is building the reliable service layer that powers the product with clean APIs, authentication, microservices, and data models. The second is engineering the high-compute orchestration layer that drives AI-generated output at scale: coordinating complex multi-stage inference pipelines, managing GPU resources, and moving large model artifacts efficiently. Strong CS fundamentals, deep concurrency experience, and the ability to own work from design to deployment are essential. This is a hybrid role based in Los Angeles.

What You’ll Be Doing

• Design and build backend services, APIs, and microservices powering core product functionality
• Own authentication flows, data models, and service-to-service communication patterns
• Architect and implement orchestration systems for multi-step, high-compute pipelines end to end
• Manage GPU cluster scaling and resource allocation to support real-time, high-throughput workloads
• Optimize data movement and model artifact delivery at scale
• Extend internal observability tooling and integrate with Datadog and custom monitoring systems
• Collaborate with ML and infrastructure teams to improve pipeline reliability and latency
• Contribute to infrastructure-as-code and cloud resource management (Kubernetes, ECS, Terraform)
• Drive technical design, code review, and architectural decisions across backend systems
• Mentor engineers and raise the bar on engineering quality and clarity

What They’re Looking For

• 3+ years of backend engineering experience building real production systems
• Deep, substantive proficiency in TypeScript, Go, or Python applied to backend services and APIs
• Strong grasp of web fundamentals: HTTP, networking, how browsers and services communicate
• Solid concurrency experience thread safety, resource management, scaling concurrent workloads
• Experience designing and building microservices and service-oriented architectures
• Hands-on experience with REST and/or gRPC service design
• Some exposure to infrastructure orchestration with Kubernetes, ECS, or similar
• Ability to take a high-level design brief and independently drive it to production
• Strong communicator who can clearly articulate trade-offs and gaps in their own systems
• Familiarity with GPU cluster management or ML inference infrastructure
• Experience orchestrating heavy-compute or multi-stage compute pipelines
• Hands-on with Terraform or infrastructure-as-code at scale
• Exposure to Datadog, distributed tracing, or custom observability tooling
• Background in high-throughput, latency-sensitive consumer-scale systems

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Senior Backend Engineer – Los Angeles (Hybrid) – $175,000 – $215,000

We’re building advanced avatar and AI companion technology that powers the next era of interactive digital identity. Our platform enables developers and creators to build game‑ready AI characters, personalized digital assets, and rich real‑time experiences. If you’re passionate about high‑performance backend systems, AI‑driven products, and solving complex engineering challenges, this role is for you.

What You’ll Do

• Build and maintain backend microservices powering mobile and web experiences
• Design and develop large‑scale ML infrastructure and compute‑heavy systems
• Architect and optimize real‑time pipelines for reliability, performance, and scale
• Develop backend applications that integrate ML models and data workflows
• Improve automation, testing, CI/CD, security, and deployment practices
• Collaborate with product and engineering teams on roadmaps and requirements
• Contribute to architectural decisions, code reviews, and team mentorship

What You Bring

• 3+ years of professional software engineering experience
• Strong proficiency in Python or Golang
• Experience building or supporting ML systems and high‑compute workloads
• Strong fundamentals in algorithms, data structures, and distributed systems
• Background with AWS or GCP, REST APIs, microservices, NoSQL/SQL databases
• Familiarity with IaC, CI/CD pipelines, caching, event‑driven architecture
• A proactive, collaborative, and creative engineering mindset
• Excellent written and verbal communication skills

What We Offer

• Competitive equity packages
• Comprehensive medical, dental, and vision insurance
• Unlimited PTO + company holidays
• Paid parental leave
• Monthly wellness reimbursement
• Hybrid work structure (LA-based, 4 days onsite)
• Modern, creative office environment
• Strong culture of ownership, growth, and innovation

Our Culture

A fast‑growing, well‑funded startup that values curiosity, creativity, and thoughtful engineering. You’ll have the autonomy to shape systems from the ground up, influence technical direction, and work alongside people who love solving big, meaningful problems.

Interested?

If you’re excited about building scalable backend systems that power next‑generation AI and digital identity experiences, we’d love to connect.

Apply or message directly to learn more.

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