Skip to main content
David Careers

Senior Applied ML Engineer - Scalable AI Solutions

Posted today

ian martin groupAustin (TX)
Software DevelopersCustom Computer Programming Services

SENIORITY

Senior

SALARY

$105.00 - $150.00 per hour

Apply (opens in a new tab)

About the role

Senior Applied ML Engineer
Pay Rate: $105.00 - $150.00/hour on W2 (Rate based on experience and interview performance)
Location: Austin, TX or Atlanta, GA (Hybrid 2-3 days onsite)
Contract Length: 1+ YearsMust 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.
About the Role: We are hiring a Senior Applied ML Engineer to join a product-focused team building machine learning solutions at scale. In this role, you will contribute hands-on engineering alongside mentorship and technical leadership. You are expected to work independently, influence technical decisions, and help shape the direction of ML systems across the product. Senior engineers here are strong practitioners first. You will pair frequently with teammates, conduct code reviews, and set a high standard for quality and maintainability.
Responsibilities:
  • Delivery & Execution (approx. 70% of time)
  • Build secure, reliable, and scalable ML features as a core member of a cross-functional product team
  • Ensure quality and change control standards are consistently met; document systems and processes thoroughly
  • Write automation scripts for infrastructure, monitoring, and test coverage
  • Conduct stress and resilience testing to validate production readiness
  • Adapt off-the-shelf tools and platforms to fit evolving requirements
  • Create instrumentation including dashboards, alerts, and logging to enable proactive operations
  • Continuous Learning (approx. 10% of time)
  • Participate in internal communities of practice and external learning forums
  • Independently research emerging ML techniques and tooling to inform team decisions
  • Support & Enablement (approx. 20% of time)
  • Serve as a resource for partner teams and support functions
  • Monitor production systems and maintain awareness of Service Level Objectives
  • Regularly assess system capacity, prediction quality, and overall production health
  • Qualifications2–4 years of relevant ML engineering experience
  • Solid working knowledge of ML algorithms including clustering, forecasting, anomaly detection, and neural networks
  • Practical experience with regression and foundational statistics
Hands-on use of ML frameworks and tooling: Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorchExperience with a major cloud ML platform (e.g., Vertex AI, BigQueryML) and data engineering tools such as BigQueryProficiency in Python; experience with modern web frameworks (Node.js) and front-end technologies (HTML, CSS, JavaScript, React, D3) Experience with GPU acceleration (CUDA, cuDNN) Strong SQL skills and experience with relational databases Proficiency with Git and CI/CD workflows Experience working in Linux/Unix environments Experience designing and consuming REST APIsFamiliarity with production systems architecture including availability, failover, and security Familiarity with NoSQL databases Familiarity with cloud automation patterns and managed ML services Familiarity with defensive coding and high-availability patterns Exposure to A/B testing and scalable web service design Familiarity with advanced ML techniques such as NLP, convolutional neural networks, autoencoders, and embeddings
Core Competencies:
  • Operates independently with minimal direction
  • Navigates complexity and ambiguity with confidence
  • Communicates clearly in technical and cross-functional settings
  • Brings innovative thinking to product and technical challenges
  • Strong collaborator who actively supports team success
  • Drives result consistently; holds self to a high standard
  • 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#USVM

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this