Staff Java ML Engineer Job at Signify Technology (NYC)

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 Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Staff Backend Engineer

Kalepa is looking for a Staff Backend Engineer to work on its AI Copilot platfor...

Location

Salary:

145000.00 - 185000.00 USD / Year

Kalepa

Expiration Date

Until further notice

Requirements

8+ years of relevant software engineering experience
Excellent development skills including design, debugging and problem solving
Bachelors or master's degree in computer science or a related field
Experience with Python3 or other OO languages (Java, C++, C#, etc.)
Experience with AWS (EC2, Lambda, etc.) and serverless technologies
Experience with relational databases, preference for PostgreSQL
Experience working on distributed systems creating scalable, fault-tolerant infrastructure
Experience building data driven microservices leveraging RESTful API's
Experience with tools such as Docker, Git, GitHub, Flask, NumPy, Pandas

Job Responsibility

Work on advanced systems including NLP, firmographic data, entity resolution
Solve problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure
Collaborate with a global team of full-stack, data, ML, and DevOps engineers
Build scalable and reliable backend solutions

What we offer

Competitive salary (based on experience level)
Significant equity options package
20 days of PTO a year
Global team offsites
Healthy living/gym stipend
Mobile phone bill stipend
Continuing education credits

Fulltime

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff Machine Learning Engineer - Delivery Courier Pricing

The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelors (or higher) in Computer Science, Machine Learning, Operations Research, or related quantitative field
7+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks and distributed computing platforms
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
Mentor and grow senior ML engineers, establishing technical standards and engineering culture

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Java ML Engineer

Signify Technology

Location:
United States , NYC

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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