Spark Jobs

69 open roles mentioning Spark

Applied Research Scientist, AI Research

22d ago
D

Descript

Descript's Research team focuses on building specialized models for specific editing workflow problems, aiming to ship them as production features used by millions of creators. This role is centered on multimodal understanding, developing models that perceive edited media like a human video editor. The goal is to enhance Descript's AI editing agent, Underlord, by enabling it to directly perceive media, judge its own output, and reason about creative choices beyond just project structure. This is an open research problem with a unique dataset available.

$197k - $263k

San Francisco, CA or Remote, US remote
OpenAIFine-TuningPyTorch +9 more

Engineering Manager, Inference Performance

22d ago
B

Baseten

Baseten is seeking an Engineering Manager to lead a portion of their Inference Performance team. This team is responsible for accelerating and optimizing the performance of demanding AI workloads on GPUs. The role involves managing and growing a team of inference performance engineers focused on the inference engine and runtime, including areas like kernels, scheduling, batching, KV-cache management, and speculative decoding. It's a hands-on technical leadership position where you will define the team's direction, solve complex problems, and contribute technically to GPU performance while also focusing on hiring, developing, and supporting your team members. Your team's work will directly impact customer model inference speed and serving efficiency, and you will play a key role in shaping the team's structure as it scales.

$240k - $270k

San Francisco remote FullTime
GoPyTorchSpark +8 more

Manager, Data and AI Engineering

22d ago
n

nvidia

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver significant business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate effectively with business stakeholders to translate operational challenges into innovative data and AI solutions.

$200k - $322k

US, CA, Santa Clara remote
AWSPythonLLM +7 more

Sr. Developer Advocate, AI and Machine Learning

23d ago
Databricks

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$149k - $205k

San Francisco, California onsite
PythonAI AgentsSpark +8 more

Sr. Developer Advocate, AI and Machine Learning

23d ago
Databricks

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$133k - $186k

Seattle, Washington onsite
PythonAI AgentsSpark +8 more

Software Engineer - Inference Platform

23d ago
B

Baseten

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform ensures customers can deploy and operate advanced models with industry-leading performance, scalability, and reliability. You will work across the entire stack, from the developer experience for model deployment to the systems orchestrating Kubernetes and routing traffic efficiently, ensuring every model on our platform is fast, reliable, and cost-efficient.

$180k - $360k

San Francisco remote FullTime
KubernetesPythonLLM +7 more

Software Engineer - Inference Performance

23d ago
B

Baseten

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking inference performance engineers to make demanding AI workloads run faster and more efficiently. You will work across the entire stack, from the inference engine and runtime through scheduling, serving, and routing, applying advanced techniques to optimize performance. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to LLM inference.

$180k - $360k

San Francisco remote FullTime
PythonGoLLM +8 more

Staff Platform Infrastructure Engineer

27d ago
Together AI

Together AI

Together AI is seeking a Staff Platform Infrastructure Engineer to lead service and platform infrastructure strategy across the engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and define the standard for how services are built and operated. You will provide a stable, scalable service infrastructure foundation for mission-critical product and platform teams, focusing on reliability, repeatability, and ease of adoption. You will own and evolve crucial shared infrastructure, roll out new patterns and platform capabilities, and ensure services are built on company-wide foundations.

$240k - $280k

San Francisco remote
AWSKubernetesPython +9 more

Senior Backend Engineer - Team Atlas

28d ago
T

Taktile

Banks and fintechs use Taktile to automate critical decisions, like credit and risk, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and the backend is where the hard problems live. We're growing rapidly with enterprise customers across banking and insurance, and we're looking for a Senior Backend Engineer to join Team Atlas, a small, high-ownership team focused on the data infrastructure powering our feature computation platform. You'll own critical systems end-to-end, and your decisions will shape the product.

Berlin Office hybrid FullTime
AWSPythonAI Agents +9 more

Staff Data Infrastructure Engineer

28d ago
F

Faire

Faire is a technology wholesale platform connecting independent retailers globally. We are seeking a Staff Engineer to own and evolve our data plumbing, ensuring data is accessible, accurate, and queryable for various teams including Product Engineering, Data Science, and Machine Learning. This hands-on role involves designing and building the next generation of our data ingestion and processing systems, and serving as the go-to expert for data movement at Faire.

$247k - $339k

New York City, NY; San Francisco, CA remote
AWSKubernetesPython +12 more

Senior Backend Engineer

28d ago
M

Montecarlodata

Monte Carlo is seeking a Senior Fullstack Engineer to join their team and build the core of their agent trust platform. This role involves developing backend services, distributed systems, and agentic workflows that enable enterprises to monitor and trust AI in production. You will take ownership of problems from initial concept through prototyping, architecture, development, testing, and deployment, ensuring reliability, observability, and scalability as the platform grows. The position is primarily backend-focused but includes shipping React surfaces when necessary, and involves building and maintaining data pipelines for analytics, ML, and customer-facing features. You will collaborate with product, ML, and infrastructure teams to deliver customer value.

$180k - $230k

Remote, US remote FullTime
AnthropicAWSPython +9 more

Senior Applied AI/ML Scientist - Search Ranking

1mo ago
F

Faire

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

San Francisco, CA hybrid
AnthropicPythonGo +11 more

Staff+ Software Engineer, Account Abuse (Machine Learning)

1mo ago
Anthropic

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$320k - $485k

San Francisco, CA | New York City, NY hybrid
AnthropicPythonSQL +7 more

Research Scientist

1mo ago
L

Latent

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

San Francisco onsite FullTime
LLMPyTorchNLP +6 more

Machine Learning Engineer

1mo ago
L

Latent

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

San Francisco onsite FullTime
LLMPyTorchReinforcement Learning +3 more

Forward Deployed Data Engineer - Houston

1mo ago
I

Indicium AI

As a Forward Deployed Data Engineer (FDE) on our US Launch Team, you will be the principal technical anchor embedded directly within high-stakes enterprise client accounts, focusing heavily on the Energy Sector. You will bridge the gap between C-suite data strategy and hands-on production code, working alongside partners like Databricks and Anthropic. Your role involves leading architecture design, modernizing legacy systems into cloud-native Lakehouses, building agentic AI data harnesses, and guiding teams to ship working software rapidly.

$180k - $230k

Houston onsite
AnthropicLangChainLlamaIndex +12 more

Research Engineer, Data Infrastructure (Language Modeling)

1mo ago
c

cartesia

Cartesia is pioneering AI architectures that learn and interact with the world like humans. We are seeking a Research Engineer, Data Infrastructure to build the datasets and systems essential for pretraining our foundational models. This role involves developing performant, scalable infrastructure for acquiring, processing, and curating massive datasets, and collaborating closely with research teams to optimize data composition. Your contributions will directly influence the capabilities and quality of our cutting-edge models.

$200k - $350k

*HQ - San Francisco, CA onsite FullTime
KubernetesPythonLLM +2 more

Senior Staff Applied AI Engineer - Context Retrieval

1mo ago
Databricks

Databricks

Databricks is seeking a Senior Staff Applied AI Engineer to lead the development of context retrieval systems for Databricks agents across various SaaS providers. This is a foundational role focused on building both the underlying retrieval stack and the intelligent search subagents that leverage it. The goal is to significantly enhance the ability of Databricks agents to access and understand relevant information from diverse data sources, thereby improving their performance in tasks ranging from answering complex queries to debugging and data analysis. This role requires deep expertise in information retrieval and a proven track record of shipping production-ready retrieval systems for RAG and agentic workloads.

$229k - $343k

Mountain View, California; San Francisco, California remote
LLMRAGFine-Tuning +11 more

Sr. Software Engineer - Ingestion Core team

1mo ago
Databricks

Databricks

Databricks is seeking a Sr. Software Engineer to join the Ingestion Core Team. This team is responsible for making data ingestion simple, reliable, and efficient for all data types, including structured and unstructured. The role involves building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources into Delta Lake, ensuring schema evolution and change data capture. You will contribute to simplifying complex data challenges and empowering customers with analytics and machine learning tools.

$166k - $225k

San Francisco, California remote
PythonGoJava +7 more

Staff Fullstack Engineer, Agentic Applications

1mo ago
Databricks

Databricks

Databricks is transforming how it builds and operates People Technology, moving from traditional SaaS configuration toward an AI-native, agentic stack. You will be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

$192k - $260k

Mountain View, California remote
LangGraphCrewAIAutoGen +9 more

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