Top 1478 Ai/ml engineer Jobs in Livingston, Nj

Principal Observability Platform Engineer
Nscale —New York, NY
- $190,000 - $300,000 a year
- Mentoring
- Senior level
- Python
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Senior ML Engineer – AI Platform
Versant Media —Englewood Cliffs, NJ
- $140,000 - $175,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Retirement plan
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Senior AI Engineer
David Joseph & Company —New York, NY
- $170,000 - $220,000 a year
- Full-time
- Research
- Mid-level
- Office
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Engineering Manager I, Threat Detection
Datadog —New York, NY
- $192,000 - $240,000 a year
- Hybrid work
- Management
- Mentoring
- Senior level
- Employee stock purchase plan
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Senior Software Engineer
David Joseph & Company —New York, NY
- $180,000 - $230,000 a year
- Full-time
- Office
- SQL
- Senior level
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Staff AI Engineer
David Joseph & Company —New York, NY
- $200,000 - $250,000 a year
- Full-time
- System design
- Research
- Office
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Member of Technical Staff – ML Engineer
Rad Hires —New York, NY
- $150,000 - $300,000 a year
- Full-time
- Computer Science
- System design
- Mid-level
- Dental insurance
- Vision insurance
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Senior AI/ML Research Engineer
CACI —Florham Park, NJ
- $113,200 - $237,800 a year
- Full-time
- 7 years
- Computer Science
- Master's degree
- Health insurance
Senior Software Engineer, AI Retrieval
Asana —New York, NY
- $202,000 - $223,000 a year
- Hybrid work
- 6 years
- Office
- Senior level
- Work from home
- Retirement plan
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AI Data Engineer
Cinteot —Newark, NJ
- Full-time
- Remote
- Computer Science
- HIPAA
- Senior level
- Health insurance
- Dental insurance
Senior Software Engineer, AI/ML, AI Builder
Google —New York, NY
- $174,000 - $252,000 a year
- Full-time
- Computer science
- Computer Science
- System design
AI Engineer
Valley National Bank —Morristown, NJ
- $98,400 - $171,900 a year
- Computer science
- Computer Science
- Bachelor of Science
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AI/ML Engineer, Data Scientist
Sciemo —New York, NY
- $150,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- SQL
- AWS
AI Research Engineer
Normal Computing Corporation —New York, NY
- $200,000 - $400,000 a year
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Senior level
9d
AI/ML Engineer, Junior
Booz Allen Hamilton —Wharton, NJ
- $55,200 - $126,000 a year
- Full-time
- Office
- Bachelor's degree
- Scripting
- Health insurance
- Flexible spending account
Principal Engineer - Data and AI
Barclays —Whippany, NJ
- $200,000 - $300,000 a year
- Analysis skills
- Mentoring
- Senior level
Software Engineer, AI/ML, Workspace
Google —New York, NY
- $147,000 - $210,000 a year
- Full-time
- Computer science
- Computer Science
- System design
2d
Distinguished AI Engineer
NTT Ltd —Jersey City, NJ
- $139,872 - $209,808 a year
- Temporary
- AWS
- Senior level
- Health savings account
- AD&D insurance
AI/ML Engineer
Starr Companies —New York, NY
- $135,000 - $175,000 a year
- Full-time
- Computer Science
- Mid-level
- Master's degree
Applied AI/ML Engineer
Confido —New York, NY
- $200,000 - $250,000 a year
- Full-time
- Office
- Master's degree
- Senior level
- Paid parental leave
- Relocation assistance
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ai/ml engineer jobs near livingston, nj

Principal Observability Platform Engineer

Nscale
New York, NY

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Job Details

$190,000 - $300,000 a year

Qualifications

Technical engineering
Data modeling
Go
Incident management
Kubernetes
Ansible
Tooling
Team leadership
Software coding
Infrastructure as Code (IaC)
High-performance computing clusters
Systems architecture experience within technology
Scalable systems
Improving operational efficiency
Infrastructure architecture design
Team development
SRE
Incident management operations support
Terraform
Log analysis tools
Mentoring
Scalability
Monitoring system implementation
Cloud automation
Prometheus
Grafana
Kafka
Senior level
Code reviews
Python

Full Job Description

Principal Observability Platform Engineer – Nscale

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale simplifies AI development while enabling superior results, supporting strategic business outcomes such as cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency while contributing to the technology that powers the future.

About the Role

As a Principal/Staff Observability Platform Engineer, you'll own the technical direction of Nscale's observability platform: the systems that give us deep visibility into GPU clusters, AI workloads, and the infrastructure running them. You treat observability as a product and a discipline, not a tooling exercise. You'll set the architectural roadmap, raise the engineering bar across teams, and ensure our platform scales ahead of the business, not behind it.

You understand that complexity is a cost. Solutions that require constant babysitting don't scale, and neither does operational burden. The platforms you build should be simple to operate, easy to understand, and self-evidently correct when something goes wrong.

This isn't a "maintain and operate" role. It's a "define, build, and lead" role.

What You'll Do

Own the technical strategy and architecture for observability across metrics, logs, traces, and alerting at scale.
Drive platform decisions that have multi-year impact: tooling, data models, ingestion patterns, retention, cardinality management.
Identify systemic gaps before they become incidents; design platforms that make failure visible and fast to diagnose.
Partner with SRE, infrastructure, and AI/ML teams to embed observability natively into how Nscale builds and operates.
Define standards and patterns that other engineers adopt, not by mandate, but because they're clearly better.
Mentor and technically grow the observability team; raise the ceiling on what the team can build and own.
Lead incident postmortems and use them to drive durable platform improvements.
Evaluate and introduce tooling that meaningfully improves signal quality, operational efficiency, or scalability, and retire what doesn't.

About You

8+ years in SRE, infrastructure engineering, platform engineering, or observability-focused roles.
You've operated observability infrastructure at serious scale. You know what breaks at 10x and you design for it.
You have a strong bias toward simplicity. You've seen over-engineered observability stacks collapse under their own weight and you build accordingly.
Deep hands-on experience with a significant subset of: Prometheus, Thanos, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse, Elastic.
Strong engineering fundamentals, proficient in Python, Go, or similar; comfortable owning complex systems end to end.
Experience with Kubernetes at scale; familiarity with GPU infrastructure or HPC environments (Slurm) is a strong plus.
You can architect systems, write the code, review others' work, and explain the tradeoffs clearly, all in the same week.
Infrastructure-as-Code is default, not optional (Terraform, Ansible, or equivalent).
You influence without authority. Teams want your opinion because it makes their work better.

Preferred

Experience with high-volume streaming pipelines for observability data (Kafka, Vector, Fluent Bit, etc.).
Background in AI/ML infrastructure observability: GPU utilisation, training job visibility, inference latency.
Prior experience defining observability strategy at an organisation level.

Equal Opportunities Statement

We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent individuals, parents, carers, and people from lower socio-economic backgrounds.

If there's anything we can do to accommodate your specific situation, please let us know.

Note: Responsibilities outlined are not exhaustive and may evolve as business needs change.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

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ai/ml engineer jobs in livingston, nj

Principal Observability Platform Engineer

Senior ML Engineer – AI Platform

Senior AI Engineer

Engineering Manager I, Threat Detection

Senior Software Engineer

Staff AI Engineer

Member of Technical Staff – ML Engineer

Senior AI/ML Research Engineer

Senior Software Engineer, AI Retrieval

AI Data Engineer

Senior Software Engineer, AI/ML, AI Builder

AI Engineer

AI/ML Engineer, Data Scientist

AI Research Engineer

AI/ML Engineer, Junior

Principal Engineer - Data and AI

Software Engineer, AI/ML, Workspace

Distinguished AI Engineer

AI/ML Engineer

Applied AI/ML Engineer

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Principal Observability Platform Engineer – Nscale

About Nscale

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