Staff AI/ML Engineer Job at Sigma Computing (New York City)

Staff AI/ML Engineer

At Sigma, we’re not just adding AI—we’re building the future of how people work ...

Location

United States , New York City

Salary:

240000.00 - 270000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

10+ years of experience building and deploying production-grade AI/ML systems
Deep knowledge of machine learning, deep learning, and applied AI
Experience across the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
Experience adapting or training foundation models (language or multimodal) for novel domains

Job Responsibility

Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office
Stock options

Fulltime

Staff AI/ML Engineer

At Sigma, we’re not just adding AI—we’re building the future of how people work ...

Location

United States , San Francisco

Salary:

240000.00 - 270000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

10+ years of experience building and deploying production-grade AI/ML systems
Deep knowledge of machine learning, deep learning, and applied AI
Experience across the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
Experience adapting or training foundation models (language or multimodal) for novel domains

Job Responsibility

Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office
Stock options

Fulltime

Staff Software Engineer, Backend

The Staff Engineer will work closely with AI/ML engineers, product managers, app...

Location

United States , NYC

Salary:

160000.00 - 190000.00 USD / Year

Conductor

Expiration Date

Until further notice

Requirements

Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience
8+ years of experience in software development, with experience in product-driven companies
Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications
Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued
Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques
Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks
Knowledge of MLOps practices, model deployment, and AI system integration in production environments
Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment
Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams
Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks

Job Responsibility

Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth
Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards
Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently
Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks
Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices
Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions
Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery
Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows
Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization

What we offer

100% covered employee medical plan
a dental & vision plans
401(k) with employer contribution
an unlimited vacation policy
10 sick days
short-term disability
long-term disability
generous paid parental leave
employee assistance program
flexible savings accounts

Fulltime

Staff Product Security Engineer

We’re looking for a Staff Product Security Engineer to lead the design and imple...

Location

United States

Salary:

184000.00 - 252000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

7+ years of experience in product, application, or cloud security engineering
Deep understanding of secure SDLC, threat modeling, and secure architecture design
Proven expertise with AWS cloud security concepts and best practices
Strong experience with container security, orchestration, and runtime protection
Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling
Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure
Familiarity with DevSecOps and continuous integration/deployment environments

Job Responsibility

Embed robust security practices throughout the software and AI development lifecycle (SDLC)
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
Partner with engineering and product teams to ensure security, privacy, and compliance by design
Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction

What we offer

Competitive compensation, benefits, and career growth opportunities
Opportunity to shape and drive product security strategy
Collaborative and security-minded engineering culture
Work on cutting-edge security challenges in a fast-growing company
Performance-based bonus, equity, and a generous benefits program

Fulltime

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Applied AI Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalise interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximise accuracy
Develop specialised AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

Poland , Warsaw

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built or significantly contributed to security programmes from the ground up
Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent)
Driven technical security improvements by writing code, building tools, and implementing controls
Integrated security into development workflows through DevSecOps practices
Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar)
Evaluated security implications of AI/ML systems

Job Responsibility

Build hx's security programme from the ground up
Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform
Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines
Lead or contribute to compliance initiatives (SOC2, ISO27001)
Build security automation and tooling by writing code and scripts
Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions

What we offer

Share Options
25 days of non-working + 14 Polish bank holidays (B2B) / 26 days of holiday + 14 Polish bank holidays (UoP)
£5,000 budget for Learning & Development
Mental Health Support and Therapy via Spectrum Life
Optional access to Healthcare package provided by Luxmed + Multisport (B2B)
Top-spec laptop (MacOS or Windows)
Company pension (UoP)
10 days company sick pay at 100% salary (UoP)
Monthly wellbeing allowance via Juno (UoP)
Healthcare package provided by Luxmed (UoP)

Fulltime

Staff AI/ML Engineer

Sigma Computing

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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Location:United States , New York City

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 04, 2026

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Job Posted:
January 04, 2026