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Machine Learning Developer Intern Jobs in Williamstown, MA

Carrier Voice Engineer

Albany, NY · On-site

$75K - $95K/yr

... Voice Engineer to secure, support, and optimize carrier-grade voice services across wireline ... Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat ...

Expert Project Manager

Albany, NY · On-site

$98K - $116K/yr

Infrastructure engineers * System integrators * Business stakeholders * Third-party vendors ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Bachelor's degree in Computer Science, Information Systems/Technology, Data Science, Math, Electrical Engineering, or Machine Learning (Artificial Intelligence). * 7+ years building and shipping ...

Bachelor's degree in Computer Science, Information Systems/Technology, Data Science, Math, Electrical Engineering, or Machine Learning (Artificial Intelligence). * 7+ years building and shipping ...

Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * Contributions to accelerators, reusable frameworks, thought leadership, or innovation initiatives.

DoD Skillbridge Intern

Albany, NY · On-site

$15 - $19.75/hr

Project Engineer * Superintendent * Mechanical, Electrical and Plumbing (MEP) Coordinator * Tradesmen * Construction Manager * Estimator * Construction worker * Video Design & Construction

Showing results 41-60

Machine Learning Developer Intern information

See Williamstown, MA salary details

$25.3K

$42.3K

$87.3K

How much do machine learning developer intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning developer intern in Williamstown, MA is $42,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Carrier Voice Engineer

Albany, NY • On-site

FirstLight Fiber
Telecommunications • 501 - 1,000 employees

$75K - $95K/yr

Other

Posted 23 days ago


FirstLight Fiber rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Full Time IC Albany, NY, US

Salary Range: $75,000.00 To $95,000.00 Annually

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade voice services across wireline, wireless, wholesale, enterprise, and interconnect environments. This role requires deep expertise in VoIP, SIP, TDM, SBC platforms, voice security, fraud mitigation, AI-enabled analytics, software systems, databases, and Tier III operational support.

The ideal candidate has hands-on experience with large-scale telecom voice platforms, SIP trunking, SS7/SIGTRAN, DDoS protection, security monitoring, data analysis, and automation within a highly available carrier network.

Key Responsibilities
  • Design, implement, and maintain security controls for carrier-grade voice platforms, including SIP infrastructure, SBCs, softswitches, media gateways, and interconnect gateways.
  • Configure, harden, and troubleshoot Session Border Controllers supporting carrier interconnects, SIP trunks, wholesale, enterprise, and customer-facing voice services.
  • Protect voice infrastructure against SIP-based attacks, toll fraud, robocalling abuse, traffic pumping, caller ID spoofing, DDoS events, and abnormal call routing behavior.
  • Monitor voice networks for security events, service-impacting issues, fraud indicators, and anomalous traffic patterns using logs, telemetry, SIEM tools, and operational dashboards.
  • Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat identification, incident response, and operational efficiency.
  • Analyze telecom data from CDRs, SIP logs, SBC telemetry, routing systems, firewalls, DNS, SIEM platforms, fraud systems, and operational databases.
  • Support and troubleshoot software applications used for voice provisioning, fraud management, CDR processing, reporting, monitoring, service assurance, and network operations.
  • Query and analyze relational or analytics databases to support troubleshooting, reporting, fraud investigations, and security analysis.
  • Provide Tier III support for voice security incidents, SIP/SBC issues, fraud events, DDoS attacks, and complex service-impacting problems.
  • Support secure migration and ongoing protection of legacy and hybrid voice environments, including TDM, SS7, SIGTRAN, PSTN gateways, and IP-based voice platforms.
  • Maintain high availability and resiliency through secure design, geographic redundancy, failover validation, disaster recovery planning, and capacity management.
  • Maintain documentation, standards, diagrams, playbooks, and procedures; support audits, risk reviews, regulatory requirements, and security governance activities.
Required Qualifications
  • 7+ years of experience in telecom network engineering, voice engineering, network security, or carrier operations.
  • 5+ years of hands-on experience with carrier-grade VoIP, SIP, SBC, softswitch, or voice platform environments.
  • Strong knowledge of telecom voice technologies and protocols, including SIP, RTP/SRTP, TLS, SDP, DNS, SS7, SIGTRAN, ISUP, and SIP trunking.
  • Experience with carrier voice platforms such as Cisco, Metaswitch, Genband/Ribbon, NetSapiens, or comparable SBC/softswitch platforms.
  • Experience securing SIP trunks, carrier interconnects, wholesale voice, enterprise voice, and customer-facing voice services.
  • Knowledge of voice fraud patterns, telecom abuse scenarios, and mitigation techniques.
  • Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly detection, reporting, or network/security operations.
  • Experience working with software applications and databases used in telecom, security, fraud, provisioning, reporting, or operations environments.
  • Familiarity with tools such as SIEM platforms, firewalls, DDoS platforms, packet capture tools, CDR repositories, fraud systems, dashboards, and log analysis platforms.
  • Strong troubleshooting skills using Wireshark, tcpdump, SIP traces, SBC logs, CDR analysis, SQL queries, and platform diagnostic tools.
Preferred Qualifications
  • Experience with STIR/SHAKEN, robocall mitigation, call authentication, or voice reputation platforms.
  • Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash, PowerShell, REST APIs, Power BI, or Grafana.
  • Experience with relational or analytics databases such as Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch.
  • Familiarity with OSS/BSS, provisioning systems, service assurance platforms, fraud management systems, network inventory systems, SIEM/SOAR, or ticketing platforms.
  • Relevant certifications such as CISSP, CISM, or CCNP Security
About FirstLight

FirstLight, headquartered in Albany, New York, provides fiber‑optic data, Internet, data center, cloud and voice services to enterprise and carrier customers throughout the Northeast connecting more than 13,000 locations in service with more than 125,000 locations serviceable by our more than 25,000‑route mile network. FirstLight offers a robust suite of advanced telecommunications products featuring a comprehensive portfolio of high bandwidth connectivity solutions including Ethernet, wavelength, and dark fiber services as well as dedicated Internet access solutions, data center, cloud and voice services. FirstLight’s clientele includes national cellular providers and wireline carriers and many leading enterprises, spanning high tech manufacturing and research, hospitals and healthcare, banking and financial, secondary education, colleges and universities, and local and state governments.

FirstLight Fiber is an equal opportunity employer. In accordance with state and federal laws, FirstLight’s equal opportunity policy is that all applicants and employees are treated equally by the company with respect to employment opportunities, regardless of race, color, religion, sex, sexual orientation, disability, or veteran status or veteran disability.

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