Machine Learning Data Engineer - Systems & Retrieval Job at Zyphra (Palo Alto)

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience building Machine Learning and AI solutions (4+ years)
Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Job Responsibility

Collaborate with software engineers, data scientists, and product managers to solve complex problems
Lead projects from technical design through launch
Partner with teams to achieve impactful results
Deliver robust ML solutions to build AI features reaching millions
This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
Mentor junior members of the team

What we offer

Health and wellbeing resources
Paid volunteer days

Senior Machine Learning Engineer

We’re seeking a Senior Machine Learning Engineer (P50) to join our new GenAI Mod...

Location

Singapore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles
Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML
Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra
Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype
Comfort working in fast-paced, experimental environments with evolving direction
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience

Job Responsibility

Build and apply advanced GenAI models
Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data
Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches
Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments
Prototype and experiment quickly
Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences
Run experiments, collect feedback, and iterate fast to validate impact
Design and implement evaluation methods for quality, groundedness, and user value
Collaborate and contribute
Work closely with peers across ML, engineering, and product teams to bring new ideas to life

What we offer

Health and wellbeing resources
Paid volunteer days

Autonomous Systems Data Mining Engineer

We are seeking a Data Engineer with a systems mindset to own and simplify access...

Location

United States , San Mateo

Salary:

170000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, backend engineering, or infrastructure roles
Exposure to robotics, autonomy, or real-world sensor data pipelines
Strong proficiency in Python (or similar language) and SQL
Experience designing scalable data pipelines with tools such as Apache Spark, Airflow, dbt, or equivalent
Familiarity with log processing, time-series analysis, or working with large volumes of semi-structured data
Ability to work cross-functionally with ML engineers, autonomy engineers, and product stakeholders
Systems thinking: you enjoy untangling complexity and designing elegant abstractions that empower others

Job Responsibility

Design systems to unify scattered data sources (logs, telemetry, analytics tables, media, etc.) into easily discoverable and queryable formats
Enable efficient curation of machine learning datasets by tagging, indexing, and filtering for relevant scenarios (e.g., environmental conditions, sensor behavior, scene attributes)
Build tools to automatically surface anomalies, regressions, or key signatures in logs and telemetry data (e.g., CPU usage spikes, sensor noise, degraded conditions)
Develop mechanisms to rapidly compare releases and surface regressions in performance metrics, resource usage, and data quality
Architect and maintain scalable data pipelines and services to index, enrich, and query multimodal autonomy data (e.g., time series, media, tabular analytics)
Collaborate with autonomy and ML teams to understand data usage patterns and build tools that streamline their workflows
Develop efficient methods for search, tagging, and filtering over structured and unstructured data
Help design systems to label and retrieve rare or complex scenarios, both automatically at ingestion and via manual search
Build dashboards and visualizations to support release monitoring and anomaly detection across a variety of system health signals

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan
Group health insurance plans

Fulltime

Machine Learning Engineer - Data Foundation and AI

You’ll be a machine learning engineer on the Data Foundation & AI team. In this ...

Location

United States , New York

Salary:

186000.00 - 236400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

1-3 years of experience training, deploying, and scaling ML/AI models in production environments
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Job Responsibility

Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
Developing new AI applications that enable innovative product experiences across fintech
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Machine Learning Engineer - Data Foundation and AI

You’ll be a machine learning engineer on the Data Foundation & AI team. In this ...

Location

United States , San Francisco

Salary:

186000.00 - 236400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

1-3 years of experience training, deploying, and scaling ML/AI models in production environments
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Job Responsibility

Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
Developing new AI applications that enable innovative product experiences across fintech
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Machine Learning Engineer

Influur is redefining how advertising works — through creators, data, and AI. Ou...

Location

United States , Miami

Salary:

200000.00 USD / Year

Influur

Expiration Date

Until further notice

Requirements

Strong experience designing, building, and maintaining end-to-end machine learning systems in production
Deep understanding of ML algorithms, embeddings, retrieval systems, and evaluation methodologies
Strong experience with large language models (LLMs), fine-tuning, inference optimization, and agent frameworks
Expertise in ML infrastructure, including feature stores, vector databases, model serving, and real-time inference pipelines
Strong Python skills and experience with PyTorch, TensorFlow, FastAPI, NumPy, scikit-learn, and data processing frameworks
Experience with scalable data pipelines (batch + streaming), including tools like Spark, Kafka, or similar
Experience implementing ML solutions such as recommendation engines, ranking models, and personalization systems
Solid understanding of statistical analysis (A/B testing, experimentation, causal inference)
Ability to work closely with engineering teams to productionize ML models with reliability, monitoring, and CI/CD best practices

What we offer

Competitive equity in a venture-backed company shaping the future of music influencer marketing
A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral
Access to elite tools, AI copilots, and a team that builds daily at top speed
Hybrid flexibility + top-tier health benefits

Fulltime

Machine Learning Engineer

Influur is redefining how advertising works — through creators, data, and AI. Ou...

Location

Salary:

200000.00 USD / Year

Influur

Expiration Date

Until further notice

Requirements

Strong experience designing, building, and maintaining end-to-end machine learning systems in production
Deep understanding of ML algorithms, embeddings, retrieval systems, and evaluation methodologies
Strong experience with large language models (LLMs), fine-tuning, inference optimization, and agent frameworks
Expertise in ML infrastructure, including feature stores, vector databases, model serving, and real-time inference pipelines
Strong Python skills and experience with PyTorch, TensorFlow, FastAPI, NumPy, scikit-learn, and data processing frameworks
Experience with scalable data pipelines (batch + streaming), including tools like Spark, Kafka, or similar
Experience implementing ML solutions such as recommendation engines, ranking models, and personalization systems
Solid understanding of statistical analysis (A/B testing, experimentation, causal inference)
Ability to work closely with engineering teams to productionize ML models with reliability, monitoring, and CI/CD best practices

What we offer

Competitive equity in a venture-backed company shaping the future of music influencer marketing
A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny) — with our tech, support, and strategic guidance
Access to elite tools, AI copilots, and a team that builds daily at top speed
Hybrid flexibility + top-tier health benefits

Fulltime

Machine Learning Data Engineer - Systems & Retrieval

Zyphra

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 13, 2026

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Job Posted:January 13, 2026

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