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Machine Learning Engineer Associate Jobs in Albany, NY

Accenture

Full Stack Engineer Manager

Albany, NY · On-site

$94K - $293K/yr

... AI), machine learning (ML), and data analytics that enable clients to design, build, launch and ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

New

Digifabshop

Millwork CNC Engineer

Albany, NY · On-site

$65K - $85K/yr

... Associates Digifabshop & CWK Associates are pioneering firms at the forefront of digitally ... Fully integrate with the production team by actively learning from mentors and using feedback to ...

Eclaro

Advanced Cloud Based Programmer

Albany, NY · On-site

Machine Learning or AI model development experience. * Experience with Looker reporting and LookML ... Programming Languages: Python, JavaScript * Infrastructure as Code: Terraform * Version Control:

NY CREATES

Metrology Engineer

Albany, NY · On-site

$110K - $120K/yr

Position Summary, Metrology Engineer NY Creates is seeking a highly skilled Semiconductor Metrology ... Exposure to machine learning applications in metrology or process control * Strong communication ...

Arcfield

Senior Principal Digital Engineer

Schenectady, NY · On-site

$121K - $167K/yr

This role will focus on implementing cutting-edge MBSE processes, advancing Digital Threads, integrating Artificial Intelligence/Machine Learning (AI/ML) methodologies, and modernizing engineering ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Albany, NY

Machine Learning Engineer Associate information

See Albany, NY salary details

$41.2K

$82K

$131.1K

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

As of Jul 17, 2026, the average yearly pay for machine learning engineer associate in Albany, NY is $82,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $94,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Albany, NY? The most popular types of Machine Learning Engineer jobs in Albany, NY are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Albany, NY? For Machine Learning Engineer Associate jobs in Albany, NY, the most frequently searched job titles are:
What cities near Albany, NY are hiring for Machine Learning Engineer Associate jobs? Cities near Albany, NY with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Albany, NY as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,047 per year, or $39.4 per hour.
Associate Software Engineer

Associate Software Engineer

Jahnel Group

Schenectady, NY

Other

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work.

We get to build some of the most complex and compelling applications for our clients located across the country. We're a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We're growing like crazy, and if you're looking for the next place to call home, hit us up for a beer or coffee. 

Who We're Looking For

An Associate Software Engineer works to help build, modify and maintain software solutions. As an Associate Level, you are expected to be learning while also working on real world applications. When placed on a team, you are expected to be a welcomed member and be productive. It is expected that you have a basic understanding of typical development practices and some real world practical applications of them. You must be able to follow standard procedures and be able to work well with others.

Roles and Responsibilities

Due to the breadth of domains a Software Engineer can explore during their career it's difficult to list specifics about each one. Instead we use the term "core technical skill set" to refer to a reasonable industry standard grouping of a domain. Examples include but are not limited to Application Engineering, Cloud Engineering, DevOps Engineering, Data Engineering, and Site Reliability Engineering, etc.

A typical Software Engineer at this level would demonstrate the vast majority of these qualities continuously for at least a year.
Craftsmanship
  • Reading and writing software with at least one core technical skill set
  • Testing and debugging software with at least one core technical skill set
  • Fundamental tools/concepts relevant to those core technical skill sets
  • Reading and writing documentation for developers and end users
Problem solving
  • At least one development methodology (i.e., Agile, Scrum, etc) and working together in iterations/sprints
  • Software architecture and design
  • Planning, designing and estimation techniques and managing your own workload
  • Reviewing work items assigned to you, asking clarifying questions, understanding and completing them with accuracy and efficiency
Operations
  • Collaborating with source control, pull requests and code reviews
  • Contributing to deployment pipelines and the systems that deliver code to environments
  • Assisting in monitoring production applications and where possible providing production level support
Collaboration
  • Be a team player, seek different ways to add value and help the team minimize risks, issues and impediments
  • Have courtesy/tact and be effective working with other people
  • Understand the different roles on the team and their responsibilities
 Influence and Impact
  • Provide information clearly and concisely, demonstrate care by proactively sharing updates and impediments without being asked.
  • Conduct research and analysis and be able present your findings
  • Operate with a sense of care and urgency
Orientation to learn
  • Demonstrate self-development and the ability to pursue learning
  • Stay up to date with the industry as well as the direct needs of your team
Skills and Qualifications

Software Engineers explore a variety of domains throughout their careers. One may start with front end development and then transition to back end. An application engineer may start learning DevOps and eventually support a product as an SRE. 

A typical Software Engineer at this level would meet the qualifications in at least one of the following domains.

Web front end
  • Competent in HTML/CSS/JScript
  • Competent in at least one framework (Angular, React, Vue, Svelte, etc.) 
 Service back end
  • Competent in at least one programming language (JavaScript, C#, GoLang, Python, etc)
  • Competent in at least one framework (Express.js, .Net etc)
  • Competent in Application Design (APIs, Integrations, REST, GraphQL, MVC, Websockets, etc)
  • Competent in common coding concepts (Design Patterns, Functional Programming, DDD, TDD, DRY, SOLID, etc)
Data
  • Competent in manipulating common data formats (JSON, CSV, XML, etc)
  • Competent in at least one data technology (RDBMS, NoSQL, etc)
  • Exposure to different data processing techniques (ORM/ODM, OLAP/OLTP, ODBC, Batch, Streaming, etc)
Specialized DomainsMobile front end
  • Competent in iOS or Android
  • Competent in Objective-C or Java
  • Competent in at least one framework (Flutter, Xamarin, Ionic, etc)
Cloud
  • Competent in at least one Cloud (AWS, GCP, Azure, etc)
  • Competent in at least one Cloud Architecture (Docker/Containers, Serverless, Amplify, Netlify, JAMStack, etc)
Security
  • Competent in common security concepts (threats, vulnerabilities, exploits, etc) 
  • Competent in security protection techniques and sources (code scanning, dependency updates, OWASP top 10, etc)
  • Competent in secure coding practices (input/output validations, sanitization, error checking, filtering, RBAC, etc)
  • Competent in cryptography (in transit and at rest, SSL, ciphers, certificates, etc)
  • Exposure to regulatory and compliance laws and concepts (Data Privacy, GDPR, CCPA, Health, HIPAA, PII, PHI, Accessibility, WCAG, etc)
DevOps
  • Competent in at least one SCM (GitHub, GitLab, BitBucket, etc)
  • Competent with at least one IaC technology (CloudFormation, CDK, Terraform, Kubernetes, etc)
  • Competent in working with and updating pipelines
SRE
  • Competent in at least one observability area (monitoring, logging)
  • Competent in at least one observability technology (ELK, Prometheus, DataDog, New Relic, Splunk, etc)
Where we're looking for it

Schenectady, NY

Start Date

We are looking for the Associate Developer to start in June of 2025 (Flexible). 

Compensation Package (Salary Transparency for US Based Employees)
  • Salary Range: $60,000 - $70,000+
    • Salary is negotiable and the range can be increased based on qualifications, certifications and experience  
  • Free Health Insurance Option for all (Single, 2 - Party and Family) 
  • 401k Safe Harbor Plan 
  • Profit Sharing Program
  • Generous PTO - Maternity / Paternity Leave
  • Side Hustle Opportunities 
  • Certification Reimbursement and Bounty Programs
Other Information

The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required.

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