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Machine Learning Engineer New Grad Jobs in Watkinsville, GA

Manager of DevOps Engineering -

Jersey, GA ยท On-site

$130 - $223.70/hr

Work Arrangement Hybrid (3 days onsite per week) from our Jersey City, NJ or Raleigh, NC office ... Advance the maturity of AIOps initiatives, leveraging machine learning techniques on telemetry data ...

Python Tutor

Athens, GA ยท Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Operator

Braselton, GA ยท On-site

$19/hr

This is a great opportunity to further your existing skills as a Machine Operator, while learning new ones to assist you in your career. The best part is you would be joining a winning culture with ...

Physical Therapist

Winder, GA ยท On-site

$1.4K - $1.9K/wk

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... Continue learning and growing through Upstream's education and development programs Qualifications

Physical Therapist

Athens, GA ยท On-site

$1.6K - $2.0K/wk

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... Continue learning and growing through Upstream's education and development programs Qualifications

Physical Therapist

Winder, GA

$1.4K - $1.9K/wk

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... Continue learning and growing through Upstream's education and development programs Qualifications

Physical Therapist

Athens, GA ยท On-site

$1.6K - $2.0K/wk

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... Continue learning and growing through Upstream's education and development programs Qualifications

Reviewing new engineering releases and providing estimated run time and equipment selection ... Familiarity with manual machining operations including mills, lathes and saws. * Ability to read ...

Reviewing new engineering releases and providing estimated run time and equipment selection ... Familiarity with manual machining operations including mills, lathes and saws. * Ability to read ...

... machines, capping machine accessories and machine components for bottle capping machinery. The ... Apply knowledge of engineering principles, designs new products and systems that meet company ...

... machines, capping machine accessories and machine components for bottle capping machinery. The ... Apply knowledge of engineering principles, designs new products and systems that meet company ...

... machines, capping machine accessories and machine components for bottle capping machinery. The ... Apply knowledge of engineering principles, designs new products and systems that meet company ...

Physical Therapist

Loganville, GA ยท On-site

$1.5K - $2.0K/wk

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... Continue learning and growing through Upstream's education and development programs Qualifications

Showing results 21-40

Machine Learning Engineer New Grad information

See Watkinsville, GA salary details

$28.2K

$115.2K

$173.2K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer new grad in Watkinsville, GA is $115,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Watkinsville, GA are hiring for Machine Learning Engineer New Grad jobs? Cities near Watkinsville, GA with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Watkinsville, GA as of June 2026, with employment types broken down into 9% As Needed, 55% Full Time, and 36% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,235 per year, or $55.4 per hour.

Manager of DevOps Engineering -

Socket.dev

Jersey, GA โ€ข On-site

$130 - $223.70/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Work Arrangement

Hybrid (3 days onsite per week) from our Jersey City, NJ or Raleigh, NC office.

Core Responsibilities DevOps Engineering & CI/CD
  • Own and scale enterprise-wide CI/CD pipelines using modern orchestration tools (e.g., GitHub Actions, CI, ArgoCD).
  • Architect developer self-service platforms with Infrastructure-as-Code (IaC)
  • Implement role-based access controls (RBAC) across Kubernetes, cloud IAM, and toolchains to ensure compliance and security.
  • Build extensible automation frameworks enabling teams to provision, deploy, and monitor workloads with minimal friction.
  • Evaluate and integrate next-generation CI/CD features such as ephemerol environments, policy-as-code enforcement, and test environment provisioning on demand.
  • Establish and govern standardization of base container images, Helm charts, and deployment templates to promote consistency and reduce security drift across development teams.
Infrastructure & Cloud Automation
  • Manage cloud-native infrastructure (Azure and AWS) with a focus on resiliency, scalability, and cost optimization as it pertains to product workloads.
  • Lead adoption of Kubernetes and container orchestration platforms with advanced configuration (e.g., service mesh, Cilium, Calico, OPA/Gatekeeper).
  • Standardize configuration management using Terraform, Terragrunt, or ArgoCD โ€œHelmโ€, and integrate with CI/CD pipelines for immutable deployments.
  • Optimize cloud spend and resource utilization by implementing advanced autoscaling strategies, rightsizing recommendations, and reserved instance/savings plan management using FinOps best practices.
Reliability & Observability
  • Define, measure, and enforce Service Level Objectives (SLOs) and Service Level Agreements (SLAs) for platforms and services.
  • Establish observability practices through metrics, distributed tracing, and logging using tools such as Prometheus, Grafana, ELK/EFK, and Dyantrace.
  • Drive proactive capacity management, chaos testing, and resilience engineering to validate system recovery under failure scenarios.
  • Advance the maturity of AIOps initiatives, leveraging machine learning techniques on telemetry data to predict and preempt potential service degradation.
Security & Compliance
  • Integrate DevSecOps practices into pipelines (e.g., SysDig, Artifactory X-Ray, dependency scanning, container image hardening).
  • Enforce least-privilege principles and manage secrets with tools like HashiCorp Vault, AWS Secrets Manager, Azure Vault, or Kubernetes Secrets.
  • Ensure compliance with regulatory requirements and organization requirements.
  • Manage secrets rotation, key generation, and Public Key Infrastructure (PKI) at scale, ensuring cryptographic best practices are applied across all environments.
Disaster Recovery & Business Continuity
  • Architect and validate multi-region, multi-cloud disaster recovery strategies with automated failover testing.
  • Design recovery procedures to minimize RTO/RPO and validate through game-day exercises.
  • Document and evangelize clear runbooks and incident response plans for all major infrastructure platforms, supporting a 24/7 on-call rotation.
  • Develop and automate failover testing for all distributed systems, ensuring minimal impact during simulated regional outages.
Leadership & Strategy
  • Lead, mentor, and grow a high-performing DevOps team with a focus on engineering excellence and automation-first culture.
  • Translate business requirements into technical roadmaps for DevOps platforms and reliability engineering initiatives.
  • Collaborate with software engineering, security, and product leadership to align DevOps strategy with enterprise goals.
  • Partner with vendors and service providers to evaluate, implement, and optimize third-party DevOps tooling.
Qualifications & Technical Expertise
  • Proven expertise with cloud platforms (Azure and AWS required).
  • Strong hands-on experience with Kubernetes, service mesh, and containerized deployments at scale.
  • Deep knowledge of Infrastructure-as-Code (Terraform, Terragrunt) and configuration management.
  • Proficiency in scripting/programming (Python, Go, Bash, PowerShell) for automation and tooling.
  • Advanced understanding of CI/CD best practices, including GitOps workflows and progressive delivery (canary, blue/green).
  • Familiarity with networking (VPC design, ingress/egress, load balancing, CNI plugins).
  • Strong foundation in distributed systems, scaling, fault tolerance, and reliability engineering.
  • Experience with observability stacks (Prometheus, Grafana, ELK, Dynatrace) and incident management.
  • Understanding of modern security controls, secrets management, and compliance frameworks.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$130,000 - $223,700/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more.
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