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Remote Machine Learning Engineer Jobs in Schenectady, NY

Atlas Copco

Welder - 2nd Shift

Voorheesville, NY · On-site +1

$29 - $34/hr

By joining our team, you will contribute to our commitment to engineering excellence and customer ... With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be ...

ABB

Commercial Strategy Intern - Spring 2027

Albany, NY · Remote

$20 - $34/hr

The work model for the role is Remote based out of Florida, USA. This role is contributing to the ... Currently enrolled in a bachelor's or master's degree program in Engineering, Business, Marketing ...

Fisher Associates

Proposal Manager

Albany, NY · On-site +1

$95K - $115K/yr

... major engineering pursuits creating a strong environment for an experienced AEC capture and ... Build your career through mentorship, technical learning, leadership opportunities, and exposure to ...

Workiva

Spring 2027 Intern - Customer Success

Albany, NY · On-site +1

$21/hr

... Engineering, and Finance * Apply XBRL tagging information to financial statements and statement ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Schenectady, NY

Remote Machine Learning Engineer information

See Schenectady, NY salary details

$30.5K

$124.6K

$187.2K

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

As of Sep 4, 2026, the average yearly pay for remote machine learning engineer in Schenectady, NY is $124,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Schenectady, NY?

The most popular types of Machine Learning Engineer jobs in Schenectady, NY are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Schenectady, NY?

For Remote Machine Learning Engineer jobs in Schenectady, NY, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Schenectady, NY look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Remote Machine Learning Engineer jobs?

Cities near Schenectady, NY with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Schenectady, NY as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $124,587 per year, or $59.9 per hour.

Sr AI Engineer I - Global Commercial Services

American Express

Albany, NY • On-site, Remote

$123K - $215K/yr

Full-time

Re-posted 3 hours ago

Key responsibilities

  • Design, build, test, and operate production-grade agentic AI applications and services.

  • Collaborate with cross-functional teams to deliver AI-powered capabilities from concept through production.

  • Evaluate emerging AI technologies and incorporate practical improvements into the platform.

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 154 rated financial services

Job description


Senior Software Engineer I - Agentic AI
The Role
As a Senior Software Engineer - Agentic AI, you will be a hands-on engineer within Amex Technology, building and evolving production-grade agentic AI systems that power intelligent customer and enterprise experiences. Working closely with senior engineers, architects, Product, UX, Data Science, and Engineering teams, you will design, implement, and operate scalable, reliable, and secure AI solutions. This role combines strong software engineering fundamentals with experience building AI-powered applications.
Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to Fortune 500 companies. We back businesses so they can do more business, with a mission to be the undisputed leader in financial and membership services - responsibly driving double-digit revenue growth. We do that by offering a diverse range of payment and cashflow tools, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage a full range of their financial and payment needs.
Responsibilities
What You'll Do
  • Design, build, test, and operate production-grade agentic AI applications and services.

  • Contribute to the design and implementation of shared agentic AI capabilities, including:

  • Agent frameworks and orchestration

  • Planning, tool use, and memory strategies

  • Retrieval-Augmented Generation (RAG) pipelines

  • LLM integration and inference services

  • Evaluation, observability, and safety tooling

  • Partner with senior engineers to design scalable, reliable, and maintainable distributed systems.

  • Participate in technical design discussions and code reviews, helping improve engineering quality across the team.

  • Collaborate with Product, UX, and cross-functional partners to deliver AI-powered capabilities from concept through production.

  • Evaluate emerging AI technologies and help incorporate practical improvements into our platform.

  • Mentor junior engineers and contribute to a collaborative engineering culture.

Technical Environment
We don't hire to a narrow checklist, but successful candidates should be comfortable working in a modern, cloud-native engineering environment with an emphasis on agentic AI.
Core Engineering Stack
  • Languages: Go, TypeScript, Python

  • APIs: REST, gRPC, and tRPC

  • Cloud: AWS and/or GCP

  • SNS, SQS, Lambda, EKS, API Gateway

  • Kubernetes

  • Distributed systems and event-driven architectures (Kafka)

  • Durable Execution frameworks, like Temporal or DBOS

  • Orchestration frameworks such as LangGraph, LangChain, Airflow, or similar

Agentic AI and ML
  • Integrating commercial and open-source LLMs into production applications

  • Agent and orchestration frameworks such as VercelAI SDK, LangChain, LangGraph, LlamaIndex, etc.

  • Retrieval-Augmented Generation (RAG) architectures

  • Embedding Models and Vector Databases

  • Multi-agent orchestration and agent harness development

  • Prompt engineering and structured output generation

  • Model serving, embeddings, and inference tooling

  • Familiarity with Effect TS library

  • Schema validation and state management using tools such as Zod (TypeScript)

  • Emphasize evaluation, observability, safety, and reliability to support AI solutions deployed in a regulated, customer-facing environment.

Qualifications
What We're Looking For
  • 6+ years of experience building large-scale backend or distributed software systems.

  • Experience developing AI-powered applications using LLMs, agentic workflows, RAG, or modern ML platforms.

  • Experience building production services using TypeScript, Go, Python or similar languages.

  • Strong software engineering fundamentals across backend development, APIs, cloud infrastructure, and distributed systems.

  • Familiarity with cloud platforms, containers, and Kubernetes.

  • Experience with asynchronous processing, workflow engines, queues, or streaming systems.

  • Strong problem-solving skills and the ability to work through ambiguous technical challenges.

  • Excellent collaboration and communication skills, with the ability to work effectively across engineering and product teams.

  • Passion for learning new technologies and contributing to engineering best practices.

Preferred Qualifications
  • Experience building AI applications in financial services or other regulated industries.

  • Experience deploying production LLM or RAG-based systems.

  • Familiarity with evaluation frameworks, observability, and AI safety practices.

  • Contributions to open-source software or AI-related projects.

  • Experience with fine-tuning, model optimization, or inference pipelines is a plus.

What American Express employees say

Pay

Benefits

Hours and flexibility

Workplace

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