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Machine Learning Engineer Starting Jobs in Spring Valley, NY

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Bespoke Labs

Machine Learning Engineer

Yonkers, NY · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Paterson, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Stamford, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bronx, NY · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Snapchat

Machine Learning Engineer, Level 4

New York, NY · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... The starting pay may be negotiable within the salary range for the position. These pay zones may be ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Snapchat

Machine Learning Engineer, Level 5

New York, NY · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... The starting pay may be negotiable within the salary range for the position. These pay zones may be ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

exacare ai

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About the Role We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Verneek

Machine Learning Engineer

New York, NY · On-site

$40K - $200K/yr

... machine learning frameworks such as PyTorch * Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production * Work authorization in the USA at the time of ...

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All JobsMachine Learning Engineer Starting JobsMachine Learning Engineer Starting Jobs in Spring Valley, NY

Machine Learning Engineer Starting information

See Spring Valley, NY salary details

$31.9K

$130.5K

$196.1K

How much do machine learning engineer starting jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer starting in Spring Valley, NY is $130,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $157,100.00 per year, depending on experience, location, and employer.

What are entry-level machine learning engineer jobs?

Entry-level machine learning engineer jobs typically involve developing and testing machine learning models, often requiring knowledge of programming languages like Python and familiarity with frameworks such as TensorFlow or PyTorch. These roles usually require a bachelor's degree in computer science, data science, or related fields, and may include tasks like data preprocessing, model evaluation, and collaboration with data teams.
What cities near Spring Valley, NY are hiring for Machine Learning Engineer Starting jobs? Cities near Spring Valley, NY with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer Starting jobs near you

Machine Learning Engineer

Good Inside

New York, NY • On-site

$205K - $235K/yr

Full-time

Retirement

Re-posted yesterday

Job description

Who We Are
Good Inside is redefining parenting - not as something that should "just come naturally," but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community.
Our mission: help parents raise resilient, confident kids in a changing world. We've already reached millions, and we're just getting started. We're refining our product and expanding our reach to empower even more families.
We're looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change.
The Opportunity
Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has hands-on experience shipping ML-powered features in production. You'll work at the intersection of backend systems and machine learning, building the infrastructure and services that bring personalized, intelligent experiences to our users.
You should be comfortable working with ML APIs, understanding core ML concepts, and integrating models into reliable, scalable backend systems. Your primary identity is as a software engineer - someone who writes clean, production-grade code - with the added ability to reason about ML systems and bring them to life in our product.
You will collaborate closely with cross-functional partners, including product, design, mobile, and data teams, to build high-quality features that serve our users' needs. Your ability to blend backend engineering excellence with practical ML knowledge will be essential as we continue to evolve and scale the Good Inside platform.
What You'll Own
  • Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
  • Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
  • Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
  • Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
  • Own the reliability, performance, and scalability of ML-adjacent backend systems
  • Develop clean, maintainable, and well-documented code aligned with defined project scope
  • Provide clear documentation of architectural decisions, implementation details, and handoff materials upon project completion
  • Provide input on feature scope and sequencing to support timely and successful delivery of project deliverables
Your Skills and Experience
  • 5+ years of professional software engineering experience, with a strong focus on backend development
  • Demonstrated experience shipping ML-powered features or products in a production environment
  • Working knowledge of ML concepts (e.g., embeddings, classification, recommendation systems, LLMs) - you don't need to train models, but you need to understand how they work and when to use them
  • Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar)
  • Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node, etc.)
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments
  • Familiarity with data stores and pipelines relevant to ML workloads (e.g., vector databases, feature stores, streaming systems)
  • Excellent interpersonal, verbal, and written communication skills
  • Strong collaboration abilities and cross-functional relationship-building
  • Self-starter with strong analytical and problem-solving skills
  • Ability to stay organized and deliver results in a fast-paced, changing environment
  • Computer Science degree or equivalent
  • At least 2 years of experience in house as a ML Engineer
Preferred Experience
  • Startup Growth Experience: This isn't your first time helping a high-growth startup scale. You are excited by the challenge and love creating and learning from the bottom up.
  • Experience with LLM Application Development: You've built applications on top of large language models - prompt engineering, RAG pipelines, conversational AI, or similar - and understand the practical challenges of shipping LLM-powered features.
  • Infrastructure & DevOps Fluency: Experience with CI/CD, monitoring, observability, and production-readiness for ML systems.
  • Prior experience with recommendation systems, personalization engines, or content ranking algorithms in a user-facing product.
What We Offer
  • Competitive Compensation: base salary for this role will be $205k - $235k
  • Company Equity
  • Comprehensive benefits package
  • 401k + Company match
  • Time off to recharge
  • A high-ownership, high-performance, high-collaboration culture

Equal Employment Opportunity
Good Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.
We are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the person behind the job. We're dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive-believing in and bringing out the good inside of everyone..
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.
For information about Good Inside's privacy practices, see our Privacy Policy. California applicants, please also see our CA Applicant Privacy Notice.

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