machine learning engineer

<div>About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.

This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.

What you will do:
<ul>
<li>Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends</li>
<li>Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts</li>
<li>Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems</li>
<li>Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces</li>
</ul>
Who you are:
<ul>
<li>Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government</li>
<li>Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline</li>
<li>Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional</li>
<li>Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks</li>
<li>Familiarity with creating data visualizations and user interfaces or dashboards</li>
<li>Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib</li>
<li>Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools</li>
<li>Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users</li>
</ul>
Even better:
<ul>
<li>Active Top Secret (TS) Security Clearance</li>
<li>Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization</li>
<li>Experience working with large datasets (&gt; 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce</li>
<li>Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate)</li>
<li>Experience in intelligence and military-related mission areas</li>
</ul>
Pay Information 
Full-Time Salary Range: $115,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.<div>
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. 

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.</div></div>

Machine Learning Engineer

Amgen

<div><div>United States - Remote
<div>JOB ID: R-250804 LOCATION: United States - Remote WORK LOCATION TYPE: Remote DATE POSTED: Jul. 29, 2026 CATEGORY: Information Systems SALARY RANGE: 129,654.75USD -175,415.25 USD
</div></div><div><div>Join Amgen&rsquo;s Mission of Serving Patients
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
What you will do
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.
This is an ideal role for engineers early in their ML engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences.
This role will be eligible for remote in the US.
Roles &amp; Responsibilities:<ul><li>
Deliver AI and ML-enabled applications, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.</li><li>
Contribute to the development and maintenance of ML platform capabilities, including:<ul><li>
Data pipelines and feature engineering workflows</li><li>
Model training, evaluation, and deployment pipelines</li><li>
Experiment tracking and model registry systems</li><li>
Model performance evaluations and monitoring</li></ul></li><li>
Partner in implementation of AI and ML Ops best practices, including CI/CD, infra as code, monitoring, traceability and reproducibility.</li><li>
Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions.</li><li>
Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms.</li><li>
Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices.</li></ul>
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.
Basic Qualifications:
Master&rsquo;s degree
OR
Bachelor&rsquo;s degree and 2 years of experience in Computer Science, IT, or engineering field
OR
Associate&rsquo;s degree and 6 years in Computer Science, IT, or engineering field
OR
High school diploma / GED and 8 years in Computer Science, IT, or engineering field
Required Skills:<ul><li>
Software programming (Python, version control, test-driven development).</li><li>
Familiarity with cloud technologies (AWS preferred, Databricks).</li><li>
Hands-on experience with AI/ML model training and serving.</li></ul>
Preferred Qualifications:<ul><li>
Experience with deployment and maintenance of AI/ML models in production.</li><li>
Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure.</li><li>
Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights &amp; Biases, Terraform, etc.).</li><li>
Experience with containerization (Docker, Kubernetes).</li><li>
Familiarity with distributed data processing (e.g., Spark).</li><li>
Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain).</li></ul>
Soft Skills:<ul><li>
Excellent critical-thinking and problem-solving skills.</li><li>
Strong communication and collaboration skills.</li><li>
Demonstrated presentation skills.</li><li>
Self-motivated, with independent ownership and leadership skills.</li></ul>
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:<ul><li>
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts</li><li>
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan</li><li>
Stock-based long-term incentives</li><li>
Award-winning time-off plans</li><li>
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies</li></ul>
 and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</div></div></div>

be group

<div><div>We are assisting our client in hiring for a Senior Machine Learning Engineer.</div>
<div>Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps financial institutions improve collections performance, deliver a better consumer experience, reduce operating costs, anticipate delinquencies, and make more informed credit decisions.</div>
This is a hybrid position based in Malvern, Pennsylvania. Candidates should be local to the Greater Philadelphia region and able to work onsite several days a week.
As part of a significant investment in Data &amp; AI, our client is expanding its engineering organization with two newly created Machine Learning positions. This role is focused on building the predictive intelligence that becomes part of the company's core SaaS platform.
This is a highly hands-on engineering opportunity for someone who enjoys solving real business problems with machine learning. You'll design, build, deploy, and continuously improve production models that help financial institutions better predict customer behavior, prioritize collections strategies, and improve lending outcomes.
Working alongside Product, Engineering, Data, and business leaders, you'll help transform large volumes of structured data into intelligent software capabilities that customers use every day. If you enjoy owning the entire machine learning lifecycle&mdash;from feature engineering and model development through deployment, monitoring, and optimization&mdash;this is an opportunity to make a measurable impact.
<h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.</li>
<li>3+ years of experience designing, developing, and deploying production machine learning solutions.</li>
<li>Strong Python and SQL development skills.</li>
<li>Experience building predictive models using structured data.</li>
<li>Experience with feature engineering, model evaluation, deployment, and ongoing model monitoring.</li>
<li>Experience working with cloud-based data platforms and modern machine learning frameworks.</li>
<li>Familiarity with Azure, Databricks, MLflow, MLOps, or similar technologies.</li>
<li>Experience collaborating with engineering, product, and business teams to deliver production-ready AI solutions.</li>
</ul><h3 class="jobSectionHeader">Preferred Experience</h3>
<ul><li>Financial services, banking, lending, collections, credit risk, or fintech.</li>
<li>Building scalable data pipelines and production machine learning systems.</li>
<li>AI-assisted software development tools and modern engineering practices.</li>
<li>Passion for solving complex business problems through data and machine learning.</li></ul></div>

Senior Machine Learning Engineer

Indeed

Our Mission As the world&rsquo;s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2026) Day to Day As a Machine Learning Engineer III, you will be a team lead. Your role centers on leveraging AI/ML to ensure a seamless experience for job seekers. You will own one of the team&rsquo;s major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will partner with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field. Responsibilities Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience. Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams. Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes. Mentor and grow other software engineers and Machine Learning Engineers across teams Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR). Skills/Competencies Requires a Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master&rsquo;s degree with a minimum of 6 years of experience; or a PhD with 3 years experience Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while partnering across teams Solid knowledge of data structures and algorithms Sense of ownership and accountability as a key contributor in the technical and product domains Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Excellent written and verbal communication in English, effective with technical and business audiences Salary Range Transparency Tier 1 - United States of America $163,000 - 245,000 USD per year Tier 2 - United States of America $182,000 - 272,000 USD per year Tier 3 - United States of America $199,000 - 299,000 USD per year Tier 4 - United States of America N/A Tier 5 - United States of America $227,000 - 341,000 USD per year 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. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role. Benefits - Health, Work/Life Harmony, &amp; Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company&rsquo;s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, &amp; perks at https://www.indeed.com/careers/benefits! Equal Opportunities and Accommodations Statement Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We&rsquo;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 https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers). Inclusion &amp; 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&rsquo;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. Indeed&rsquo;s Employee Recruiting Privacy Policy Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site&rsquo;s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs. Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an &quot;Agency&quot;), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. Reference ID: 47365 The deadline to apply to this position is 08/05/2026 Job postings may be extended at the hiring team&rsquo;s discretion based on applicant volume. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 47365

Machine Learning Engineer III

Tax Relief Advocates

Are you a recent grad or early-career tech enthusiast ready to dive into AI and machine learning? Join our innovative team in Irvine, CA, to build cutting-edge models that automate tax form population, classify documents, predict client outcomes, and power intelligent tools in our tax automation ecosystem. No extensive experience required &ndash; just a passion for learning, stellar communication skills, and big ideas for transforming tax processes! What You'll Do Assist in designing, building, and fine-tuning machine learning models for document classification, entity extraction, and outcome prediction using tools like scikit-learn, PyTorch, or TensorFlow. Support internal departments by transforming legacy workflows through the integration of AI-powered tools. Evaluate Performance: Help establish metrics like recall, precision, and accuracy to assess model performance, optimizing to reduce errors in tax form extraction and chatbot responses. Deploy &amp; Monitor: Support model deployment using tools like MLflow, FastAPI, or Streamlit, and assist in versioning, logging, and monitoring live systems. Learn &amp; Grow: Contribute to a dynamic team, gaining hands-on experience with real-world AI applications in tax automation. What We're Looking For Education &amp; Experience: Recent graduate (0&ndash;2 years of experience, including internships) in AI, NLP, computer science, or related fields. Technical Skills: Basic proficiency in Python and familiarity with libraries like scikit-learn, PyTorch, or TensorFlow; familiarity with pandas for document extraction, a PDF extraction library, and/or token estimation libraries is a plus. Experience working with LLM APIs and their payload outputs (e.g., OpenAI, Azure AI), along with OCR/document intelligence tools (e.g., Azure Document Intelligence, Google Document AI). Interest in working with structured/unstructured data, especially financial or tax documents. Soft Skills: Exceptional communication skills to bridge technical and non-technical teams. Eager to learn, with a proactive approach to problem-solving. Strong documentation habits and a team-oriented mindset. Nice-to-Have Solid understanding of containerization, with experience building custom Docker images. Familiarity with security fundamentals like role-based access control or JWT-based authentication. Interest in regulatory or IRS compliance for AI models. Exposure to Azure Synapse, Power BI, or Snowflake. Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus. Why Join Us? Work on transformative AI projects that revolutionize tax automation. Gain hands-on experience with the Azure stack, including tools like AI Foundry and Document Intelligence, alongside Python. Join a collaborative team in Irvine, CA, with mentorship to kickstart your ML career. Location: Irvine, CA - onsite preferred Compensation: Up to $85,000 - $100,000 depending on experience Position Type: Full-time, permanent We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. is an Equal Opportunity Employer. We value diversity and encourage all qualified individuals to apply.

Junior Machine Learning Engineer

Nyla Technology Solutions

Job Description
 
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
 
Ready to push the boundaries of natural language processing and AI? In this role, you will be at the forefront of automated language processing, tackling complex natural language data from both spoken and written origins. You won't just run off-the-shelf models—you’ll architect autonomous tokenization pipelines, build automated part-of-speech annotation solutions, and rigorously score and benchmark model performance against human-annotated baselines. If you thrive on pushing the boundaries of NLP, fine-tuning machine learning models, and bringing cutting-edge AI/LLM capabilities to high-stakes missions, you’ll fit right in with Team Nyla.
 
The annual base salary range for this role is $152,000-$180,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
 
,
 Required Skills
 
Python Expertise: Advanced, production-level proficiency in Python for data manipulation, algorithmic modeling, and NLP tool development.
 
Natural Language Processing (NLP): Extensive hands-on experience designing and deploying core NLP workflows, including tokenization, text normalization, and parts-of-speech (POS) tagging.
 
Model Evaluation & Scoring: Demonstrated track record of benchmarking machine learning/NLP models, performing error analysis, and measuring accuracy against human-annotated datasets.
 
Multi-Modal Language Processing: Practical experience processing diverse natural language datasets originating from both spoken (transcribed) and written sources.
 
Education: Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.
 
,
 Desired Skills
 
AI & Large Language Models (LLMs): Hands-on experience testing, fine-tuning, or integrating modern LLMs and generative AI frameworks into production analytical pipelines.
 Machine Learning & Frameworks: Familiarity with modern ML libraries and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK).
 MDLA & Domain Experience: Prior exposure to Massively Distributed Language Processing Frameworks (MDLA) or specialized language processing architectures.
 AI Testing & Evaluation: Practical experience constructing evaluation testbeds and testing strategies for emerging AI/ML techniques.
 ,
 About Nyla Technology Solutions
 
Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.
 
If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,
 
Taking Care of All of You
 Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.
 
The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.
 
PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
 
LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!
 
SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!
 
WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.
 
To learn more about Nyla's culture and our exceptional benefit packages click here.
 Nyla is an equal opportunity employer.

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

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