software engineer

analytics engineer

associate software engineer Jobs in New York

associate software engineer

data engineer, analytics (university grad) Jobs in New York

data engineer, analytics (university grad)

machine learning engineer, public sector Jobs in New York

machine learning engineer, public sector

machine learning engineer public sector

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers.</p>
<div>
Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.</div>
<h3 class="jobSectionHeader"><b>
You will:</b></h3>
<ul><li>Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</li>
<li>Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics</li>
<li>Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines</li>
<li>Work with massive datasets to develop both generic models as well as fine tune models for specific products</li>
<li>Build scalable machine learning infrastructure to automate and optimize our ML services</li>
<li>Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations</li>
<li>Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment</li>
<li><b>This role will require an active security clearance or the ability to obtain a security clearance.</b></li>
</ul><h3 class="jobSectionHeader"><b>Ideally You&rsquo;d Have:</b></h3>
<ul><li>Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment</li>
<li>Solid background in algorithms, data structures, and object-oriented programming</li>
<li>Strong programing skills in Python, experience in Tensorflow or PyTorch</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves:</b></h3>
<ul><li>Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization</li>
<li>Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments</li>
<li>Experience with computer vision, generative AI models, large language models, or agentic systems</li>
<li>Familiarity with ML evaluation frameworks and agentic model design</li>
</ul><div><div><div><div><i>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</i></div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$208,000&mdash;$300,000 USD</div></div><div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:</div><div>
$187,000&mdash;$270,000 USD</div></div></div><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Machine Learning Engineer, Public Sector

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Databricks to join our innovative team. The ideal candidate will be responsible for developing, fine-tuning, and managing machine learning models in a production environment while optimizing costs and performance on the Databricks platform.</div><div><br>
</div><div></div><br>
<ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement
</li></ul><ul><li>Stay current with the latest advancements in machine learning and Databricks technologies
</li></ul>
<div></div><div>Salary Range-$110,000-$130,000 a year
</div>
<div><p>#LI-NR3</p>
<p><b>TCS Employee Benefits Summary:</b></p><br>
<p></p>
<ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
</ul>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385812</div>
</div><div><div><b>Desired Skills</b></div>
<div>DevOps</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$130,000 a year</div></div></div></div><div></div>

Engineer

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Summary</b></p><p><br>
We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.</p><p></p><p>
You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:</p><ul><li><p>
Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.</p></li><li><p>
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.</p></li><li><p>
Data Quality &amp; Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access.</p></li><li><p>
Data Modeling &amp; Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.</p></li><li><p>
Data Integration &amp; Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models</p></li><li><p>
Documentation &amp; Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
2+ years of applicable work experience</p></li><li><p>
Proficiency in Python, specifically with ETL pipelines</p></li><li><p>
Strong proficiency in SQL and experience in developing complex queries</p></li><li><p>
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)</p></li><li><p>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with healthcare data, especially Epic.</p></li><li><p>
Experience using GCP&rsquo;s BigQuery</p></li><li><p>
Knowledge of data governance best practices in a cloud environment.</p></li><li><p>
Experience working with Machine Learning processes.</p></li></ul><p><b><br>
Education</b><br>
College degree or certification in related fields</p><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$64,890.00 - $173,040.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 01/09/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Analytic Data Engineer

United Nations

<div><div><div><div>Work Location
</div><div>New York
</div></div><div><div>Expected duration
</div><div>6 months
</div></div><div><div>Duties and Responsibilities
</div><div>The intern will support the team by evaluating the design, development, implementation, piloting and rollout of an AI agent for post learning, bridging the gap between theory and practice. The intern will be: &bull; Conducting user research, assisting workshop design, drafting a research paper, and recommending improvements. Tasks will include: &bull; Organising the UN DESA workshop with public officers in target nation. &bull; Developing data collection instruments, such as surveys and interview protocols, aligned with pedagogical outcomes of Yoda AI. &bull; Leading interviews and/or focus groups with users to assess Yoda AI&rsquo;s effectiveness in addressing learning needs, barriers to adoption, and real-world implementation challenges. &bull; Presenting evaluation findings and recommendations to UN DESA staff, country representatives, and external partners as needed. &bull; Working with UN DESA experts and consultants on throughout design, development, testing and deployment of the AI Agent. &bull; drafting a research paper on the evaluation findings and implications for AI-enabled, sustainable learning in the public sector.
</div></div><div><div>Qualifications/special skills
</div><div>Applicants must meet one of the following requirements: (a) be enrolled in, or have completed, a graduate school programme (second university degree or equivalent, or higher); (b) be enrolled in, or have completed, the final academic year of a first university degree programme (minimum bachelor&rsquo;s degree or equivalent). Applicants to the UN Internship Programme are not required to have professional work. experience. However, a field of study that is closely related to the type of internship that you are applying for is required. Applicants must be a student in the final year of the first university degree (bachelor or equivalent), Master&rsquo;s or Ph.D. Programme or equivalent, or have completed a Bachelor&rsquo;s, Master&rsquo;s or PH.D. Programme. Do you meet any of the above criteria? If yes, please indicate which one and attach proof to the application. Please note that you will have to provide an official certificate at a later stage. Applicants should have good knowledge of standard software applications, especially MS Word, MS PowerPoint, and MS Teams.
</div></div><div><div>Languages
</div><div>English and French are the working languages of the United Nations Secretariat. Fluency in spoken and written English is required for the internship. Knowledge of an additional official UN language is an advantage.
</div></div><div><div>Additional Information
</div><div>Not available.
</div></div><div><div>Intern Specific text
</div><div>Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.
</div></div><div><div>No Fee
</div><div>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS&rsquo; BANK ACCOUNTS.</div></div></div></div>

Intern - Programme Monitoring and Evaluation

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:<br>
<br>
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.<br>
<br>
Key job responsibilities<br>
As an AWS Software Development Engineer, you will:<br>
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul><br>
A day in the life<br>
On a typical day as an AWS SDE, you might:<br>
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul><br>
About the team<br>
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:<br>
<br>
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

Guidehouse

<div><p>Job Family:</p>
Marketing Management<p><br>
Travel Required:</p>
Up to 10%<p><br>
Clearance Required:</p>
None<p>
Growth Marketing Director, Financial Services</p><p>
What You Will Do:</p><p>
Guidehouse is currently seeking an accomplished and highly motivated marketing leader with a digital-first mindset for our Financial Services (FS) sector. This leader will have the opportunity to develop and set the direction for financial services marketing programs aligned to the corporate and consulting practice&rsquo;s strategic goals and revenue plans.</p><p>
Reporting to the CMO and working closely with key stakeholders and executives across the FS sector, you will be responsible for developing, executing and reporting on marketing strategies, distinctive content initiatives and multi-channel campaigns to drive awareness and lead-gen activities for the FS sector. To preform your role, you will collaborate with internal teams, colleagues and agency partners to develop, coordinate, execute and track go-to-market initiatives which target key audiences, address industry issues and themes, promote Guidehouse services and expertise, and leverage data-based metrics to deliver impact to the pipeline. You will be expected to utilize the tools, systems and processes as outlined by the Marketing Department to preform your role, including the use of AI agents and platforms to improve the quality of your work and speed to market.<br>
<br>
With a deep understanding of the FS sector, you must have proven expertise leading marketing campaigns in commercial finance, banking and capital markets, fintech, financial crimes and risk, and be knowledgeable in the public sector agencies and which reflect the importance of public/private partnerships in a global economy.</p><p>
We are looking for a leader who is results driven and proactive, innovative yet strategic, collaborative and curious about the changes impacting the FS market globally. You must be driven by a desire to drive growth and deliver impactful work through creative problem-solving with a strong business acumen, excellent executive communications skills and professionalism that reflects the values of Guidehouse and the Marketing Department.<br>
<br>
Your Key Responsibilities<br>
<br>
In this role, you are responsible for developing comprehensive marketing strategies for end-to-end demand generation programs including drip/nurture digital campaigns, account based targeted campaigns, regional and geofencing campaigns, email programs, content syndication, events, multi-channel program management, and campaign performance tracking and reporting. You must thrive in a fast-paced business environment with a growth-focused culture while collaborating with FS segment and sales enablement leaders to drive measurable impact through integrated marketing programs across both the commercial and public sectors.</p><p>
How You Will Make A Difference</p><p>
Responsibilities:</p><ul><li>
Develop the strategic go-to-market campaign plan and execute that plan to drive demand and pipeline growth within target FS priority markets and peak accounts</li><li>
Demonstrate a strong understanding of the FS sales process and pipeline funnel to drive audience engagement and growth</li><li>
Develop and execute LinkedIn-focused campaigns to promote the expertise of FS and the Guidehouse brand, and attract and nurture existing and new opportunities to support growth</li><li>
Leverage campaign data and testing to closely monitor performance and conversion rates for optimizing a campaign at each stage of the funnel</li><li>
Be proficient in leveraging marketing automation and lead management systems to streamline, automate and measure all FS marketing programs and workflows</li></ul><ul><li>
Work collaboratively with content strategy team to develop high impact assets (including content and insights that rise above the &lsquo;status quo&rdquo; narrative) and optimize SEO/SEM, ABM, social and PPC strategies to stimulate engagement and support growth and elevate the brand</li></ul><ul><li>
Team with internal creative designers and external agencies to inform the development of successful, targeted, relevant and compelling digital ads and campaign assets</li></ul><ul><li>
Comply with Marketing department tools and processes, procedures and policies to ensure consistent marketing program execution and brand alignment</li></ul><ul><li>
Collaborate with other service lines and sectors to build integrated campaigns as needed</li><li>
Proven ability to manage and execute multiple complex programs and foster strong relationships across peers and leadership</li><li>
Excellent communication and organizational skills with an ability to shape processes and guidelines where needed to ensure efficient and effective program execution</li><li>
Measure, analyze and report on campaign performance to leadership</li></ul><ul><li>
Lead a team of one or more direct reports in an environment that fosters growth and builds future leaders</li></ul><ul><li>
Proactively engage appropriate FS sub-market teams to help complete program deliverables on budget and on time. This would include internal and external communications, website, video, thought leadership, branding, digital marketing, and more</li><li>
Manage the FS sector marketing budget in accordance with the Marketing department processes and as outlined by Guidehouse corporate procurement, branding, compliance and IT policies</li><li>
Reflect and steward the Guidehouse brand, mission, vision and values as a leader.</li></ul><p>
What You Will Need:</p><ul><li>
Minimum bachelor&rsquo;s degree in marketing or related field</li><li>
Twelve (12) + years of experience in marketing driving proven growth in previous roles through strategic, targeted, multi-channel marketing programs, social activation and distinctive, differentiating content initiatives</li><li>
Demonstrated knowledge and proven experiences of marketing professional services and FS-related consulting services to commercial clients and public sector agencies</li><li>
Strong business acumen with critical and analytical thinking skills</li><li>
Excellent written and verbal communications skills (including presentations) with strength in listening, collaborating, interpretation and influencing skills</li><li>
Able to articulate complex subject matter in a straightforward, concise and easily digestible manner to broad audiences</li><li>
Adept at creating impactful go-to-market initiatives to commercialize the FS expertise and services of Guidehouse</li><li>
Create measurable value and impact by providing exceptional service and support to be a trusted guide, marketing professional, firm leader, and Guidehouse brand steward</li><li>
Ability to manage fast-paced, complex projects which build valued and respectful relationships at all levels, internally and externally</li><li>
Demonstrated knowledge in digital marketing campaign automation platforms (i.e. Eloqua, Google analytics, Sitecore) to target, benchmark and track campaign ROI</li><li>
Self-starter, results-oriented, team player and ability to work autonomously in dynamic work environment within a high-growth organization disrupting the market</li><li>
Ability to lead a team and collaborate within a distributed marketing and leadership organization that is geographically dispersed</li><li>
Poised, professional, collaborative and confident service-focused marketing leader with ability to interact with various levels of leadership to gain respect and trust</li></ul><p>
What We Offer You</p><ul><li>
Be a transformative leader in a collaborative culture and business model that is focused on helping our clients with some of their most complex issues locally and globally.</li><li>
Co-build a new and disruptive global professional services firm guided by inspiring leaders, diversity and record-setting growth.</li><li>
Chart your own path to success with the tools, innovations, training and flexibility so you can make an impact as a driver of growth.</li></ul><p><br>
What Would Be Nice To Have:</p><ul><li>
Professional Services and Consulting experience in Marketing.</li><li>
Proven marketing leader with demonstrated strategic initiatives which drive growth.</li><li>
A passion for or experience in thought leadership strategy and content diversification.</li><li>
Global brand marketing, communications and media planning experience.</li></ul>
The annual salary range for this position is $162,000.00-$270,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.<p><br>
What We Offer:</p><p>
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.</p><p>
Benefits include:</p><ul><li><p>
Medical, Rx, Dental &amp; Vision Insurance</p></li><li><p>
Personal and Family Sick Time &amp; Company Paid Holidays</p></li><li><p>
Position may be eligible for a discretionary variable incentive bonus</p></li><li><p>
Parental Leave and Adoption Assistance</p></li><li><p>
401(k) Retirement Plan</p></li><li><p>
Basic Life &amp; Supplemental Life</p></li><li><p>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</p></li><li><p>
Short-Term &amp; Long-Term Disability</p></li><li><p>
Student Loan PayDown</p></li><li><p>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</p></li><li><p>
Skills Development &amp; Certifications</p></li><li><p>
Employee Referral Program</p></li><li><p>
Corporate Sponsored Events &amp; Community Outreach</p></li><li><p>
Emergency Back-Up Childcare Program</p></li><li><p>
Mobility Stipend</p></li></ul><p>
About Guidehouse</p><p>
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.</p><p>
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.</p><p>
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.</p><p>
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.</p><p>
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.</p><p>
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

Growth Marketing Director, Financial Services

Wonder

<div><p><b>About Grubhub</b></p><p></p><p>
At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It&rsquo;s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.
</p><p></p><p>Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners&rsquo; doors&mdash;and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.
</p><p></p><p>Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.</p><p></p><p><b>
About The Opportunity</b></p><p>
The Discovery Platform team is looking for an innately curious, business-minded, results-oriented backend Software Engineer to work in our Discovery and Ads teams. We are focused on providing high quality and highly relevant merchant and dish results and ads to users who are exploring restaurants and dishes either on home, search results, or other parts of the funnel serving discovery. As a member of this highly collaborative team you will partner with other engineers, data scientists, and the product team to build new features and improve the search platform, focusing on areas like query understanding, relevance, hybrid search, autocomplete and ads.</p><p></p><p><b>
The Impact You Will Make</b></p><ul><li><p>
Contribute to Development: Assist in the design and implementation of experimentation, MLOps and decision modeling pipelines that enable our data scientists to iterate on and deploy changes efficiently.</p></li><li><p>
System Monitoring &amp; Observability: Help implement monitoring frameworks to maintain system observability and quickly address any issues, contributing to minimizing SEV incidents.</p></li><li><p>
Platform Support: Contribute to platform improvements by exploring tools and integrations that enhance the data science workflow and ensure smooth integration with the GrubHub platform.</p></li><li><p>
Promote Engineering Standards: Collaborate with data scientists to implement best practices in coding, testing, and version control, contributing to the overall quality and reliability of our codebase.</p></li><li><p>
Documentation and Data Lineage: Assist in establishing processes for better data lineage, documentation, and ownership across datasets, reducing inconsistencies and promoting team autonomy.</p></li><li><p>
Data Versioning &amp; Model Management: Participate in the development of systems for data versioning, model management, and deployment strategies, ensuring models are manageable and easy to deploy.</p></li></ul><p></p><p><b>
What You Bring to the Table</b></p><ul><li><p>
Experience: 3+ years in software engineering with a focus on MLOps, Python, and cloud-based environments (AWS preferred). Proven experience in building and maintaining CI/CD pipelines, managing monorepos, and scaling machine learning models in production.</p></li><li><p>
Technical Expertise: Proficiency in Python, containerization, orchestration tools, and experience with data versioning and model management tools. Additional experience in Java is a plus. Front-end experience with Flask or React is a plus. Experience or knowledge of training, deploying and monitoring ML models is a plus.</p></li><li><p>
Problem Solving: Ability to address challenges related to system integration, data consistency, and infrastructure. Experience with distributed systems and microservices architecture is a plus.</p></li><li><p>
Collaboration: Strong communication skills, with the ability to work closely with data scientists, product managers, and other engineers. An emphasis on knowledge sharing and teamwork.</p></li><li><p>
Continuous Improvement: Passion for staying up-to-date with the latest trends in MLOps, machine learning, and software engineering, with a drive to continuously improve and innovate</p></li></ul><p></p><p>
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.</p><p></p><p>
#LI-Hybrid</p><p></p><p>
New York: $208,500 per year.</p><p></p><p>
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.</p><p></p><p><b>
Benefits</b></p><p></p><p>
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.</p><p></p><p><b>
A Final Note</b></p><p></p><p>
At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. If you have a disability, please let your recruiter know how we can make your interview process work best for you.</p><p></p><p><b>
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy</b>.</p></div>

Sr Software Engineer - Backend

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