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Today

Senior Software Engineer, AI Solutions

Uncommon Schools New York, NY

New York, NY

Today

$121k - $142k/yr Full time Backend Developer Senior AI

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Job Description

Senior Software Engineer to lead vision setting and deployment of AI solutions across Uncommon Schools, translating business needs into scalable AI infrastructure, and mentoring developers while shaping generative AI adoption.

Responsibilities

Collaborate with stakeholders across Uncommon to elicit requirements and translate business challenges into detailed, end-to-end AI system specifications.
Design and architect AI solutions covering data flows, model selection, and integration patterns that balance innovation with reliability.
Partner with process owners, product managers, and system managers to align AI capabilities with user needs and organizational objectives.
Rapidly prototype and deliver proofs of concept and minimum viable products using large language models, retrieval augmented generation pipelines, and AI agent frameworks.
Architect and deploy production-grade AI agents to automate complex workflows, ensuring scalability, observability, and ongoing performance monitoring.
Build secure API integrations and data pipelines enabling AI systems to interact safely with core Uncommon databases while preventing errors and data hallucination.
Create reusable AI stack templates and low-code tooling to empower non-technical teams to build solutions autonomously.
Document AI environments, tools, and data flows to promote organizational clarity and consistency.
Collaborate with Data and IT product managers to define implementation pathways and cross-system data architectures.
Develop and maintain a library of prompt blueprints and AI implementation best practices for the organization.
Ensure full compliance with security audits for handling personally identifiable information in AI systems.
Provide coaching and support to adjacent teams on AI development methodologies and emerging best practices.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience.
Seven or more years of professional software development experience.
At least five years building integrations between applications using APIs.
Five or more years working with source control and continuous integration tools, including GitLab.
Proficiency in at least one programming or scripting language among Python, SQL, JavaScript/TypeScript, or Node.js.
Experience with iterative development practices, frequent testing, and incremental deployments.
Strong understanding of automation tools and software development life cycle methodologies.

Technologies

Python
SQL
JavaScript/TypeScript
Node.js
GitLab
LangChain
LlamaIndex
TensorFlow
PyTorch
AWS Bedrock
SageMaker
Google Cloud Vertex AI
dbt
Airflow
Retrieval-Augmented Generation (RAG)

Benefits

Paid time off of 19 days per year
Paid Winter and Summer org-wide holidays totaling 3 weeks
Health, Dental, and Vision insurance
403(b) retirement savings plan with employer match
Paid leave of absence options including parental, medical, and disability leave
Mental health and counseling support and wellness benefits
Pre-tax flexible spending, dependent care, and health savings accounts

Work Environment

Location: New York, NY, onsite at the Central Office in downtown Manhattan (100 Church Street) with a minimum of three days per week onsite
On-call availability for data infrastructure emergencies
Occasional after-hours work for data migrations, emergency pipeline fixes, and critical infrastructure maintenance
Minimal travel, including quarterly school visits and routine local travel within the region
Minimal physical demands; predominantly desk-based work

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3d ago

Staff Machine Learning Engineer

The Home Depot Atlanta, GA 🇺🇸 Remote

Atlanta, GA

3d ago

$120k - $190k/yr Full time Artificial Intelligence Automl Cloud

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Job Description

Join The Home Depot as a Staff Machine Learning Engineer in Atlanta with remote options. You will lead ML software engineers, provide technical leadership on scalable ML systems, and drive production deployment, monitoring, and lifecycle management of ML solutions at scale, in collaboration with product teams. This role offers a salary range of USD 120,000 to 190,000 per year, a strong benefits package, and the opportunity to shape ML initiatives across the organization.

Responsibilities

Delivery and Execution - Collaborate with UX, engineering, and product management to design secure, reliable, and scalable machine learning solutions; ensure user stories are developer-ready, clear, and testable; tailor off-the-shelf solutions to evolving business needs; build dashboards, logging, alerting, and response workflows to capture and address issues proactively.
Learning - Engage in ongoing learning of modern software design and ML practices; review articles, tutorials, and videos; attend conferences to apply new innovations where appropriate.
Strategy and Planning - Analyze business trends and behavioral data to identify opportunities; lead evaluation and recommendation of technology products and platforms to meet requirements; design suitable infrastructure, data, security, and ML architectures; create and maintain tooling to support teams.
Support and Enablement - Provide cross-team support, monitor tools, and promote collaboration; deliver production application support; monitor production service level objectives; assess performance, capacity, and prediction quality across code, infrastructure, data, and model outputs.

Requirements

Minimum age: 18 years old.
Legal authorization to work in the United States.
Education: High School Diploma or GED.
Experience: 3 years of relevant work experience.

Preferred Qualifications

3 to 6 years of relevant work experience with strong experience designing, training, evaluating, and deploying ML models in production, including batch and real-time inference.
Experience with ML lifecycle management, including feature engineering, model versioning, experimentation, validation, and monitoring for data drift and performance degradation.
Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD for reproducible deployments.
Solid understanding of applied statistics and model evaluation metrics, balancing accuracy, interpretability, latency, and cost.
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks; familiarity with NLP, CNNs, autoencoders, and embeddings.
Experience training models on very large datasets; proficient with data analysis tools such as Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch.
Experience with Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, AutoML; strong data engineering practices with BigQuery, Data Store.
Proficiency in Python, SQL, Git, Linux/Unix; familiarity with CI/CD toolchains; REST and scalable web service design; production systems with high availability, disaster recovery, performance, security.
Understanding of advanced ML architectures including GANs, GRU, LSTMs, RNNs, CNNs, and style transfer.

Technologies

Google Cloud Platform
Vertex AI
BigQueryML, AutoML
Jupyter Notebooks, Pandas, SciPy, Scikit-learn
Gensim, TensorFlow, PyTorch
Python, SQL, Git
Linux, Unix
BigQuery, Data Store
REST, CI/CD
GANs, GRU, LSTMs, RNNs, CNNs, Style transfer

Benefits

Paid parental leave to bond with your new addition
401(K) savings plan with company match
Merit increases and performance bonuses
On-the-spot recognition and rewards for a job well done
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program

Reporting structure

This position typically reports to a Software Engineer Manager or Senior Software Engineer Manager and has zero direct reports.

Travel

Typically requires overnight travel 5% to 20% of the time.

Physical and Working Conditions

Most of the time is spent seated in a comfortable indoor environment; there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Located in a comfortable indoor area with infrequent unpleasant conditions.

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3d ago

Senior Data Engineer - Analytics

CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

3d ago

$165k - $190k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Senior Data Engineer, Analytics designs and builds data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems in a 100% remote role.

Responsibilities

Design, develop, and sustain robust ELT/ETL data pipelines using dbt Core and SQL for BigQuery targets.
Create modular, well tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and meet SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; utilize LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when suitable.
Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Advanced SQL proficiency and strong Python experience for data transformation, orchestration, or testing.
Proven dbt Core experience to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorization to work in the United States without sponsorship for a non-immigrant visa.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
LLM APIs
RESTful APIs

Position Overview

Salary: USD 165,000 - 190,000 per year. The Analytics Engineer role focuses on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will work with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.

Location

Location: Bristol, PA (remote) • 100% Remote

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Google Cloud Engineer Jobs

Senior Software Engineer, AI Solutions

Staff Machine Learning Engineer

Senior Data Engineer - Analytics

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