UniTriTeam is a global leader in providing operational, administrative, and technology support to clinical research sites. We take pride in our mission to help advance medicine and make a real impact in healthcare. By joining our team, you’ll benefit from: A collaborative and supportive work environment Opportunities for professional growth and advancement A chance to be part of meaningful research initiatives that change lives
Machine Learning Engineer I
Location
United States
Posted
11 days ago
Salary
$118K - $245K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Machine Learning Engineer I
Indeed
Role Description As a Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You’ll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure. - Develop a variety of models from prototype to production. - Implement best practices for evaluation, monitoring, and Machine Learning Operations (MLOps). - Partner with cross-functional teams across the company on model inference and product applications. - Participate in code review and process innovation for the team's software engineers and Machine Learning Engineers, and document your work. - Prioritize technical and product thinking, and show ownership for team priorities and Indeed’s mission to help people get jobs. Qualifications - Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 2 years of related experience; or an advanced degree without experience. - Familiarity with agent orchestration frameworks and LLM observability tools. - Significant domain knowledge with training, fine-tuning, and evaluating language models. - Knowledge and practical experience working on ML/LLM/Deep Learning models (like Torch, Tensorflow, Huggingface, XGBoost, etc.). - Python and SQL programming experience. Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. - Tier 1 - United States of America: $118,000 - $176,000 USD per year - Tier 2 - United States of America: $130,000 - $196,000 USD per year - Tier 3 - United States of America: $143,000 - $215,000 USD per year - Tier 4 - United States of America: N/A - Tier 5 - United States of America: $163,000 - $245,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit this link . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. - We value diverse experiences, including those who have had prior contact with the criminal legal system. - We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. - Those with military experience are encouraged to apply. - Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• Build and run a scalable, traceable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission. • Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports. • Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + derivatives. • Deploy ClearML for dataset versioning/lineage and experiment tracking (runs/metrics/artifacts; provenance). • Optimize training data access using Lance (or equivalent) for fast loading and incremental updates. • Build a PostgreSQL-backed enrichment service for metadata/labels/predictions independent of raw media (optional search via OpenSearch/text+vector). • Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + algorithmic label ingestion. • Establish a governed clinical validation environment meeting 21 CFR Part 11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling.
General Application Referrals
Crystal DynamicsCrystal Dynamics is a development firm located in Redwood City, California, and operates as a subsidiary of Embracer Group. Since 1992, Crystal Dynamics has bee
Title: General Application Referrals Location: United States - Remote Job Description: Crystal Dynamics is constantly seeking the best gaming talent worldwide to add to our 30-plus year legacy of game development creating new and iconic franchises. We are committed to making great games with great people and living the dream while doing it. Benefits for our full-time positions include, but are not limited to, a competitive regional salary, 100% employer-paid medical, dental, and vision insurance options, professional development reimbursement perk, flexible hybrid on-site/off-site work opportunities, company paid holidays, plus additional paid days in December when the studio is closed for holiday break, and the ability to accrue weeks of personal paid time-off. General Application Referrals You have been referred by a Crystal Dynamics employee! We ask that you please fill out the additional questions below to be considered for future opportunities. Crystal Dynamics is an equal opportunity employer. We are committed to identifying and implementing positive and persistent measures to ensure equal opportunity in the recruitment, hiring, development, training, promotion and compensation of a diverse team employee group. This includes persons of different race, color, creed, religion, sex, gender identity or gender expression, pregnancy, breastfeeding or medical conditions related to breastfeeding, genetic characteristic, sexual orientation, national origin, ancestry, medical condition, political affiliation, age, veteran status, uniform service member status, marital status, physical or mental disability, or citizenship, as well as any other classifications protected by applicable federal, state or local laws. Crystal Dynamics is committed to providing reasonable accommodations in accordance with applicable laws.
Senior Software Development Engineer – MLOps
Jumio CorporationIdentity verification through informed AI.
• Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities • Build and optimize model serving infrastructure with a focus on inference latency and cost optimization • Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options • Implement cost-efficient, enterprise-scale solutions • Collaborate in a cross-functional, distributed team for continuous system improvement • Work with MLEs, QA Engineers, and DevOps Engineers • Evaluate and implement new technologies and tools • Contribute to architectural decisions for distributed ML systems
Role Description We are looking for a Senior MLOps specialist. It will be full-time for about 3 months. We are flexible on location and rate for the right person. Mission - Build and run a scalable, traceable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission. Key Responsibilities - Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports. - Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + derivatives. - Deploy ClearML for dataset versioning/lineage and experiment tracking (runs/metrics/artifacts; provenance). - Optimize training data access using Lance (or equivalent) for fast loading and incremental updates. - Build a PostgreSQL-backed enrichment service for metadata/labels/predictions independent of raw media (optional search via OpenSearch/text+vector). - Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + algorithmic label ingestion. - Establish a governed clinical validation environment meeting 21 CFR Part 11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling. Qualifications - Knowledge of medical imaging (CT, DICOM). - Experience with data ingestion pipelines. - Expertise in data quality (QC) automation. - Familiarity with distributed data processing. - Experience in experiment tracking and dataset versioning. - Knowledge of metadata and label management. - Understanding of clinical AI validation. - Familiarity with 21 CFR Part 11 compliance. - Knowledge of HIPAA/PHI handling. - Experience with RBAC, audit trails, and WORM storage. - Familiarity with vector search and media processing. - Experience in annotation/labeling workflows. - Understanding of provenance and data lineage. - Experience with PACS integration and radiology workflows. Requirements - Proficient in Python. - Experience with AWS (S3, AWS Batch, EC2 Spot). - Familiarity with Kubernetes, HPA, and Karpenter. - Knowledge of Networking (VPC, VPN UiFI). - Experience with Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, and FFmpeg.
