Applied ML Engineer

Applied ML Engineer

Pay Rate: $80.00 - $115.00/hour on W2 (dependent upon experience and interview performance)

Location: Austin, TX or Atlanta, GA (Hybrid 2-3 days onsite)

Contract Length: 1+ years

Must be authorized to work in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time. This role is for direct W2, no C2C (corp to corp) available.

Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.

Overview

We are looking for a collaborative, product-minded Applied ML Engineer to join a cross-functional delivery team. You will contribute to the full lifecycle of machine learning features — from algorithm design through to production deployment — working alongside product managers, UX designers, and software engineers to ship solutions that real users depend on.

This is a pairing-heavy environment. You will collaborate closely with teammates daily, contribute to code reviews, and help raise the bar on engineering practices across the team.

Responsibilities

Delivery & Execution (approx. 65% of time)

Partner with engineers, product managers, and designers to build secure, reliable, and scalable ML-powered features

Write and review production-quality code; apply best practices and document your work to shared standards

Develop automation scripts for infrastructure provisioning, monitoring, and test execution

Build resilience tests to validate system behavior under stress conditions

Configure and adapt third-party tooling to meet changing business needs

Instrument dashboards, logging, and alerting to proactively catch and address issues in production

Continuous Learning (approx. 15% of time)

Engage with internal and external communities of practice around ML and modern software development

Stay current on emerging technologies and techniques through self-directed study

Support & Enablement (approx. 20% of time)

Respond to questions from partner teams and support functions

Monitor production systems and track Service Level Objectives

Review the performance, capacity, and prediction quality of live systems on an ongoing basis

Qualifications

1–3 years of hands-on experience in software engineering or ML development

Proficiency in Python or a comparable scripting language

Familiarity with data engineering concepts and platforms such as BigQuery or similar cloud data stores

Experience with web frameworks (e.g., Node.js) and front-end technologies (HTML, CSS, JavaScript, React, D3)

Comfort writing SQL against relational databases

Working knowledge of Git or another version control system

Exposure to ML concepts including clustering, forecasting, anomaly detection, and neural networks

Understanding of foundational statistics and regression; familiarity with Bayesian methods is a plus

Experience with standard ML tooling: Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, or PyTorch

Familiarity with a major cloud platform and its ML services (e.g., Vertex AI, BigQueryML, AutoML)

Comfort working in Linux/Unix environments

Exposure to CI/CD pipelines and REST API design

Basic understanding of production system principles: availability, disaster recovery, performance, and security

Core Competencies

Adapts well to shifting priorities and ambiguity

Communicates clearly across technical and non-technical audiences

Committed to continuous learning and self-improvement

Collaborates effectively; brings a team-first mindset

Drives outcomes with a results-oriented approach

Builds positive, productive working relationships

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com

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